Answer:
Step-by-step explanation:
Data given
r=0.003 represent the correlation coefficient
represent the sample mean for the y observations
Solution to the problem
We assume that they use least squares in order to find the best regression model. The slope is given by the following formula:
Where:
And the slope on this case is:
Nowe we can find the means for x and y like this:
And we can find the intercept using this:
So the line would be given by:
And the best predicted value for x=2 would be: