Dad, how can these birds fly ?
They have wings
Do you want to fly?
I have no wings
Hmm… Why need of wings , need only two wheels to fly over the world
This is the climax of this story
This is myself , the story begins in a short past
When this story begins I was dormant
I was alone in home
I haven't many friends
Song vandhanam movie
Hello where are you?
Yeh
Asleep?
Brush your tooth and rush to me?
To brush the teeth for a bride seeing
I will be there in no time
Each ride is like a puff
Like inhaling the past and exhaling the future
Releasing fumes to the air one by one was my hobby
And I love this things
I don't know whether due to my glamour, those who are passing opposite to me used to laugh on seeing me
But none of them never sticked to my mind
This was the place where I met her for the first time.
Is it Neelima, when you drew it ?
What you mean?
Brother, shall I offer a coffee to her?
I never thought you were such a flirt
Brother, don't exceed too much
[Laughing…]
Brother her outlook
Hmm….Carry on
Neelima
Neelima
Jerry
Kurian said
Oh!!
The picture has been good
Thank you!
You would have asked me before drawing the picture
What?
Nothing
Why you are not inviting me for drinking a coffee?
I don't drink coffee
Do you have any sugar complaint?
I have a little throbbing
Then ok I am pulling out
OK
Neelima
Here is a tea shop nearby
Tea is best for throbbing!
Shall we go together?
I just want to inform my friends, I will be back
OK
Have you seen a rider without hair and beard?
No
Look there!
Ohh!!
I like those people who doesn't over think in sharing their time to have a tea from a near by teashop or even share their life time with me
Shall we move?
Sure
Hey on this?
Yes…Any problem?
Nothing, come let's go
She entered as a drizzle into my heart
Each moment with her was so special to me
Hello come outside
Why are you here?
There is a perfect spot Now it's the time for snowfall Shall we go?
I am not well today, better go tomorrow
It's not possible
If you want to see snow fall, you have to go today itself
Hmm…5 minutes
OK
Hey what is this dualism? Full of fascino family?
Oh, it's my dad's. We have three at home
Good let's go
Does this disease occur frequently?
Which disease?
Throbbing
Oh that's not frequent
Do you feel now?
Hey, why didn't offer a ride for that boy who was at the turning of the road?
Oh, because I don't like anyone sitting on the backseat of my bike
Why is it so?
It had been reserved for a particular person
Won't you allow me to?
I have a desire
To go for a long time with my partner…
…sharing a beer with him and so on so on
But it won't happen
Dad said to stop these wandering
On coming 29th I am going to Canada
May be this will be our last trip
Only creative work that I can do right now is to pack my luggage
Hello
I had been a little busy
It is better to say farewell through the phone
Ok I will come
Are you bored?
Why you are on foot today, where is your scooter?
I have sold it
No need of scooter for a person going to Canada
If you hadn't sold it would become rust
I have sold it not because of that
Then…?
Then…?
Is it true that you wouldn't allow anyone to sit on your bullet's back seat?
Yes…It's true!
Shari
Juli
Reshma
So I just want to have a ride by embracing you
What about Canada?
When did I told you that I was going to Canada?
This month 29th!
Which is this month?
February
Does February has 29th, Idiot?
You fooled me…right!
Then after their problems got solved
But from here I lost her
Even though I was telling the story till now you have not realized who I am
As you thought, this fool who is talking to that girl is not the hero of the story
Eh!
Is it not me?
Then who…?
The hero of this story is in the same frame
Not this guys
You have seen me
Just rewind a little bit
wait! wait!
This is me
I'm the hero of this story
When this story begins I was dormant
I was alone in home
But I was crazy about riding
Releasing fumes to the air one by one was my hobby
I do not whether due to my glamour, those who are passing opposite to me used to laugh on seeing me
This was the place where I met her for the first time
Her outlook!
Each moment with her was so special to me
But from here I lost her
Where is your scooter?
I have sold it
Now you have understood, right!
Have fun
Still you won't understood the truth
The vehicle on which you place your bump not only has an engine…
…has a Heart ♥️ too!!!
For more infomation >> Karalilenikkum Theeyanu | Latest Malayalam Short Film | Love Story | 4K - Duration: 20:03.-------------------------------------------
【公式】ラブひな 11巻 / 赤松健 [マンガ図書館Z] - Duration: 38:09.
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Moji izleti: Komenda - Duration: 7:11.
Komenda is a stretched village along the local road,
north of the main road Kranj - Mengeš.
The village is an old church center,
since the first pre-Parish and the parish of Komenda
was mentioned for the first time already in 1147.
The meaning of the word komênda
is the 'possession' of the Knight Order.
Komenda was the smallest administrative unit
or estate of the Knights Order.
The common name 'komenda' is probably through the German 'Kommende'
taken from the medieval colloquial word
'commenda' in the sense of entrusted
possession; care,
deputy.
In this place, from 1223
to 1872,
lived Maltese knights and owned estates.
According to their administrators,
called the 'commendators',
the place later got its name,
but this name was not used in the Middle Ages.
The stone Gothic marker at the lower edge of the cemetery
is from 1510,
adorned with the coat of arms of the Maltese Order,
which settled in Komenda at the end of the 13th century.
The Maltese knightly order
promoted the horseback riding in Komenda and its surroundings.
Horse races have this tradition
from Valvasor times.
This tradition has been preserved with the equestrian club
and the hippodrome until today.
The Križ Castle stood on a hill above the settlement of Križ.
It was built in the second half of the 16th century.
In 1943 partisans burned it and demolished it.
There were many valuable works of art in it;
some were burned, and others were looted.
Vew of the surroundings.
The coat of arms of the Maltese Order
Križ Castle
Križ Castle once stood at the top of this hill.
The Castle looked like this.
The Križ Pond
The pond is icy.
It's time for a meal.
Beef stew.
More information in the description of the movie. Goodbye!
-------------------------------------------
Ian Wright slams Arsenal star whose "fingerprints were all over" Liverpool loss - Duration: 2:33.
Arsenal were well beaten by Liverpool at Anfield on Saturday, and that's despite taking a 1-0 lead
Ainsley Maitland-Niles' strike at the Kop end after just 11 minutes suggested that it could be a day to remember for Unai Emery's side at the home of the league leaders, but it turned into one they'd rather forget
Roberto Firmino's hat-trick and strikes from Sadio Mane and Mohamed Salah turned a 1-0 deficit into a 5-1 win, as the Reds went nine points clear at the top of the table
And while Jurgen Klopp's side were irresistible at times, it was impossible to ignore Arsenal's role in their own downfall
The Gunners were all over the place at the pack, particularly so when Firmino waltzed through their defence to make it 2-1 with his second goal inside 90 seconds
Arsenal's players were left lying on the floor as Firmino found the net, and one man who wasn't impressed with their display was the Gunners legend Ian Wright
Speaking in his YouTube channel, Wright said he'd sell "three or four" Arsenal players who started in the defeat
"We've got to move players on that need to be moved on," he said. "What that showed me is we need players, there's three or four players in that starting lineup that should be moved on or farmed out because we need to start to progress
"Hopefully that result will start to release some funds for Unai." Video Loading Video Unavailable Click to play Tap to play The video will start in 8Cancel Play now And on Twitter, appearing alongside presenter Manish Bhasin, Wright pointed the finger at defender Stephan Lichtsteiner
Shortly after Mane had made it 3-1, Wright said: "If this was a crime scene Lichtsteiner's fingerprints would be all over it
" The loss leaves the Gunners fifth in the Premier League table, two points outside of the top four ahead of Chelsea's trip to Crystal Palace on Sunday
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Nightcore MMD- Suicide (De Rihanna) - Duration: 3:18.
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Recette facile de la Galette des rois en langue des signes (+ sous-titres) - Duration: 6:21.
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Passato di verdure - Serial Trailer - Trailer divertenti - Duration: 0:53.
This year...
... you'll come back to school...
... to learn a lesson you will not forget...
- Elisa
- combines the remote past.
I had vegetables You had vegetables
He had vegetables We had vegetables
You had vegetables They had vegetables
VEGETABLE PAST (vegetable soup in italian)
September 28th at the cinema!
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l오늘의 정보l "남친 전현무와 기쁨 함께하고 파"···최우수상 받고 달달한 소감 전한 '사랑꾼' 한혜진 - Duration: 2:33.
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Ian Wright slams Arsenal star whose "fingerprints were all over" Liverpool loss - Duration: 1:59.
-------------------------------------------
Recreating Your Life | Onggy Hianata (Promo) - Duration: 0:34.
Hi, my friends and
our FFG Family around the world.
What did you learn from my previous message?
A few days from now,
we will jump into a fantastic new year.
2019, I'm so excited.
I will share something
that I never describe before.
In 2019, 2nd of January, 7 PM.
I'll see you there.
Have a fantastic day,
and Happy Holidays!
Bye bye!
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(Fingerstyle) 鄭伊健 - 愛難留 - Duration: 1:01.
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Culte D'action de Grâce du 30 Décembre 2018 - Duration: 1:05:03.
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En Vendée, les stations essence 24h/24 fermées par arrêté préfectoral jusqu'au 2 janvier - Duration: 1:44.
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Фотоаппарат системный премиум Olympus OM-D E-M5 12-50 Kit Silver обзор - Duration: 1:14.
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Simple Regression Analysis by Scatter Plot in Excel - Duration: 7:50.
Today I'll explain the basics of Regression Analysis using the Scatter Plot in Excel.
[Intro Video]
Hi, this is Mike Negami, Lean Sigma Black Belt.
Our topic today is from this request.
"Please explain Multiple Regression Analysis and correlation that can be used in business
forecasting and customer satisfaction research analysis etc."
Thank you, Katsu RD for your request.
In order to answer his question, I have to explain the basics of Regression Analysis
first, so I divided this topic into three videos.
This video is about doing a Simple Regression Analysis with a Scatter Plot, and the second
one will be about doing a Simple Regression Analysis with the Excel Data Analysis Tools.
Then the last one will be about the Multiple Regression Analysis.
These days, with the development of IT, most companies can gather a lot of data.
That data is the result of your business activities.
Regression analyses give us good hints about the causes of the business activities and
factors that affect those results.
The real purpose of analyses is to use them for your future activities.
It's true for any data analysis, that you cannot stop with just making them.
Regression Analysis already sounds complicated.
I thought that it's easier to understand Simple Regression Analysis by learning from
an actual experience that I had.
I regularly post articles on my blog, econoshift.com.
First, I write a blog post and then make a video about the same topic.
I wanted to predict video duration from the number of words on the blog post.
I gathered ten sets of sample data of the number of words in past blog posts and their
video durations.
The video duration I wanted to predict is Y, which is called the 'Objective Variable'
and the number of blog words is X that should be written as a factor and this is called
an 'Explanatory Variable'.
From a Simple Regression Analysis, we can express the Objective Variable by the equation:
Y = a X + b.
This expression is called a 'Regression Equation'.
For my data, from the result of the Simple Regression Analysis, it became Y = 0.47 X
+ 35.5.
The 0.47 portion is called a 'Coefficient' and represents the slope of the line of the
Regression Equation.
For my equation, if X increases by 1, Y increases by 0.47.
Also, the +35.5 portion is called an 'Intercept' and represents the value of Y when X is 0.
From my equation, if the blog has 600 words: X is 600, 0.47 times 600 plus 35.5 equals
5 minutes 18 seconds.
I can predict video durations quite accurately with this and it's very helpful.
In this example, since there is only one Explanatory Variable, it's a Simple Regression Analysis.
When there are two or more Explanatory Variables, we'll use Multiple Regression Analysis.
The Multiple Regression Equation looks something like this:
Because I want my video to be about 5 minutes, I always check the video duration with this
formula before I film my video and utilize the result to decide whether to add more content
or sometimes divide the content into two videos.
In fact, I divided today's topic into three videos because of this equation's result.
Let's do the Simple Regression Analysis with Excel.
Before doing a Simple Regression Analysis, it's good to make a Scatter Plot first and
visualize the data.
Simply select the source data and select 'Insert' and then in the 'Charts' section, select
'Scatter'.
It seems that the data have a positive correlation.
However, the Objective Variable, which is the video duration, should be on the vertical
axis, but here they are reversed.
Click on the 'Design' tab, the 'Select Data', then 'Edit' and switch around
the data groups.
Next, in the same 'Design' tab, select 'Add Chart Element', 'Trendline' and
'More Trendline Options ...'. On the right screen, select 'Linear'.
Try to select other models.
As you change the selection, the line on the chart also change.
If other models are better fit than Linear, it's better to use that.
I'll use 'Linear' this time.
Then, check 'Display Equation on chart' and 'Display R-squared value on chart'.
Now a Regression Equation has come out.
What is this R-Squared value?
This is also called the 'Coefficient of Determination'.
There is another similar concept, which is called 'Correlation Coefficient'.
Lastly, I'll summarize these confusing terms clearly.
The Correlation Coefficient is a numeric value between -1 and +1, and the closer it is to
-1, the stronger the negative correlation, the closer it is to + 1, the stronger the
positive correlation.
The R-Squared value and Coefficient of Determination are the same thing and it's the squared
value of the Correlation Coefficient.
So, it'll be a value between 0 and 1.
It represents that the closer it is to 1, the more accurately the Regression Equation
can calculate the Objective Variable.
Thank you very much for viewing.
Please click the 'Subscribe' button.
Also click and watch my other related videos.
Thanks.
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