Attached a picture of the notes in reference to the question, any help appreciated. Thanks. 5. For page 18 of chapter 9 notes, an example asks for a confidence interval for the populationslope B. What is the correct confidence interval for the slope ß?(0.05137, 0.14702)(0.05629, 0.14814)(0.05429, 0.14514)(0.05891, 0.14238) The slope of the regression line.The slope, b, of a regression line model, represents the slope of the sample on the graph.Even the smallest error in the calculation of the slope can cause large errors in predictions.Since the sample slope may be different by a small amount from the population slope, it isimportant for us build a confidence interval for the population slope, ß, which is what themodel value of b tries to predict.ExampleConstruct a 95% confidence interval for the slope ß for the house price data below.Size (Sq. ft.)2521 2555 2735 2846 3028 3049 3198 3198Selling Price ($1000s) 400 426 428 435 469 475 488 455Solution:We enter the x-values (size) into L1 and the y-values (price) into L2.Press STAT and highlight the TESTS menu and select LinRegTInt.Enter L1 in the Xlist field and L2 in the Ylist field. Enter 0.95 in the C-Level field.Select Calculate.The confidence interval is (_.).This indicates that the expected population rate of change, ß, is betweenThe sample estimate rate of change which is b =We interpret this confidence interval as the range of possible rates of change in selling priceper each additional square foot of house size.andThe uncertainty with this population slope is due to confounding variables that affect priceother than house size, such as size of the lot, or the location of the neighborhood.ADDITIONAL NOTE.If the range of possible ß values contains zero, then = 0 is possible. When this occurs, itmeans that the output (price) remains constant and is not affected by the input (size). Thisis very bad result that means we cannot use house size to predict house price.We always check the confidence interval to see if it contains zero. When this occurs,we must write a sentence that explains that predictions cannot be made.

Question

Accepted Answer

Suppose x be the size 
And y be the selling price
We have given the house price data as below,…

Size	Selling Price
2521	400
2555	426
2735	428
2846	435
3028	469
3049	475
3198	488
3198	455

5. For page 18 of chapter 9 notes, an example asks for a confidence interval for the population slope B. What is the correct confidence interval for the slope ß? O (0.05137, 0.14702) (0.05629, 0.14814) (0.05429, 0.14514) O (0.05891, 0.14238)