## Outliers in Regression Quiz - Intro to Machine Learning

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So just to practice a little bit more, I'm going to give you a second example.
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You're trying to predict the price of a house.
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Again, assume two input features, the size of the house and
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the age of the house.
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The house could be brand new, or older, perhaps all the way up to 40 years.
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And the size in square feet might be 500, 1,000, or 1,500.
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And obviously any value in between those numbers makes sense in regression.
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But for the sake of this exercise I want to assume these exact numbers that I
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graphed over here.
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Further, I want to call size X1 and age X2, and the house price is called Y.
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So, my result would be of the type Y equals some number
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times x1 plus some other number times x2 plus some constant.
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So let me fill in the numbers, and this example is also a little bit
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contrived in that you can get an exact answer for those coefficients.
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And see how far you get.
Title:
Outliers in Regression Quiz - Intro to Machine Learning
Description:

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Video Language:
English
Team:
Udacity
Project:
ud120 - Intro to Machine Learning
Duration:
0:58
 Udacity Robot edited English subtitles for 06-58 Outliers_in_Regression_Quiz Wumanizer edited English subtitles for 06-58 Outliers_in_Regression_Quiz Udacity Robot edited English subtitles for 06-58 Outliers_in_Regression_Quiz Cogi-Admin edited English subtitles for 06-58 Outliers_in_Regression_Quiz

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