00:01
Once again, welcome to a new problem.
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This time we're dealing with regression.
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We're dealing with regression.
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And when you think about regression, the independent variable for the regression equation is typically the x.
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And the dependent variable is the y.
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Another name for independent variable is the explanatory variable.
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So x can also be the explanatory variable and y can be the response variable.
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So you have explanatory variable and response variable or predicted.
01:05
Predict a variable and predicted variable.
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So predictor and predicted and predicted.
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When it comes to the slope of regression equation, when it comes to the slope over regression equation.
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The formula is r -s -y over s -x, where r is the correlation coefficient.
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R is the correlation coefficient.
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S of y is the standard deviation of the standard deviation of variable and s of x is the standard deviation of the x variable.
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So we have the standard deviation of the y variable and the standard deviation of the x variable.
02:22
The regression equation is given by y hat equals to beta 0 plus beta 1x y equals to beta not, beta 1x...