The manager of Colonial Furniture has
been reviewing weekly advertising expenditures.
During the past 6 months, all advertisements for
the store have appeared in the local newspaper.
The number of ads per week has varied from one
to seven. The store’s sales staff has been tracking
the number of customers who enter the store
each week. The number of ads and the number
of customers per week for the past 26 weeks were
recorded.
a) Can the manager infer that the larger the number
of ads, the larger the number of customers?

ebto use the regression equation to predict the
number of customers who will enter the store,
given that Colonial intends to advertise five
times in the newspaper? If so, find a 95% prediction
interval. If not, explain why not.

Ads Customers
5 353
6 319
3 440
2 332
4 172
2 331
4 344
2 483
4 329
2 532
7 496
5 393
4 376
7 372
2 512
5 254
5 459
2 153
1 426
6 566
6 596
5 395
6 676
3 194
2 135
7 367

How do i solve a and b portion of the problem.

For a, p = .14 so i dont reject the hypthosis as 0.14<0.05 but cannot conclude with 95% confidence that the larger the number of ads, the larger the number of customers how to infer this?

for b, R% is 8%, how can i use this data and draw the conclusion if the exercise is worth to use the regression equation to predict the number of customers who will enter the store, given that Colonial intends to advertise five times in the newspaper?