Linear regression:
After estimating a linear relationship between income (x) and insurance (y) giving y(hat)=6.8549+3.8802x with s.e. of 14.3572, se(b1) of 7.3834, and se(b2) of 0.1121 ....
i. What is your estimate of the resulting change in the amount of life insurance when income
increases by $1000?
ii. What is the standard error of the estimate in (i), and how do you use this standard error for
interval estimation and hypothesis testing?

Question

Linear regression:
After estimating a linear relationship between income (x) and insurance (y) giving y(hat)=6.8549+3.8802x with s.e. of 14.3572, se(b1) of 7.3834, and se(b2) of 0.1121 .... 
i. What is your estimate of the resulting change in the amount of life insurance when income
increases by $1000?
ii. What is the standard error of the estimate in (i), and how do you use this standard error for
interval estimation and hypothesis testing?