23-64)LetYtbe the sales during montht(in thousands of dollars) for a photography studio, and letPtbe the price charged for portraits during montht. The data are in the fileWeek 4 Assignment Chapter 12 Problem 64Download Week 4 Assignment Chapter 12 Problem 64. Use regression to fit the following model to these data: Yt = a + b1Yt1 + b2Pt + et This equation indicates that last month's sales and the current month's price are explanatory variables. The last term, et, is an error term.

1. If the price of a portrait during month 21 is $10, what would you predict for sales in month 21?
2. Does there appear to be a problem with autocorrelation of the residual? Explain your answer.

Sales	Price
$400,000	15
$1,042,000	12
$1,129,000	24
$1,110,000	18
$1,336,000	18
$1,363,000	30
$1,177,000	27
$603,000	24
$582,000	36
$697,000	27
$586,000	24
$673,000	27
$546,000	30
$334,000	33
$27,000	24
$76,000	27
$298,000	30
$746,000	18
$962,000	21
$907,000	24