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Solve the Problem an=an+ba _ { n } = a n + b

Question 88

Multiple Choice

Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands) . (i) Use a graphing calculator to fit a linear sequence regression function
an=an+ba _ { n } = a n + b
to the data, where nn is the cost of advertising (in thousands of dollars) and ana _ { n } is number of products sold (in thousands) . (ii) Use this function to estimate the number of products sold if the cost of advertising is $6000\$ 6000 .
 Solve the problem. -The paired data below consist of the costs of advertising (in thousands of dollars)  and the number of products sold (in thousands) . (i)  Use a graphing calculator to fit a linear sequence regression function  a _ { n } = a n + b  to the data, where  n  is the cost of advertising (in thousands of dollars)  and  a _ { n }  is number of products sold (in thousands) . (ii)  Use this function to estimate the number of products sold if the cost of advertising is  \$ 6000 .    A)  (i)   a _ { n } = 2.79 n + 55.8 ; B)  (i)   a _ { n } = 5.79 n + 94.3 ; (ii)   72.54  thousand products (ii)   16,795.8  products C)  (i)   a _ { n } = 3.02 n + 55.8 ; D)  (i)   a _ { n } = 2.73 n + 34.8 ; (ii)   79.24  thousand products (ii)   69.54  thousand products


A) (i) an=2.79n+55.8a _ { n } = 2.79 n + 55.8 ;
B) (i) an=5.79n+94.3a _ { n } = 5.79 n + 94.3 ;
(ii) 72.5472.54 thousand products
(ii) 16,795.816,795.8 products
C) (i) an=3.02n+55.8a _ { n } = 3.02 n + 55.8 ;
D) (i) an=2.73n+34.8a _ { n } = 2.73 n + 34.8 ;
(ii) 79.2479.24 thousand products
(ii) 69.5469.54 thousand products

Correct Answer:

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