Below are the results of an annual survey conducted by Video Board Tests, Inc., a New York ad-testing company, based on interviews with adults who were asked to name the most outstanding TV commercial they had seen, noticed, and liked. These retained impressions are listed along with company name and TV ad expenditures.  We would be interested in determining if the number of retained impressions is linearly related to the advertising expenditures (i.e. the more spent on advertising, the higher the number of retained impressions)

Variables:  

FIRM: Firm name
SPEND: TV advertising budget, 1983 ($ millions)
MILIMP: Millions of retained impressions per week

FIRM                      SPEND     MILIMP

MILLER LITE             50.1        32.1
PEPSI                      74.1        99.6
STROH'S                  19.3        11.7
FED'L EXPRESS         22.9        21.9
BURGER KING           82.4        60.8
COCO-COLA             40.1        78.6
MC DONALD'S          185.9       92.4
MCI                          26.9       50.7
DIET COLA               20.4        21.4
FORD                      166.2       40.1
LEVI'S                     27.0        40.8
BUD LITE                 45.6        10.4
ATT/BELL                 154.9      88.9
CALVIN KLEIN            5.0       12.0
WENDY'S                  50.1       29.2
POLAROID                26.9       38.0
SHASTA                    5.0        10.0
MEOW MIX                7.6        12.3
OSCAR MEYER           9.2       23.4
CREST                      32.4      71.1
KIBBLES 'N BITS        6.1        4.4

Perform a complete regression analysis using Minitab to determine whether or not the simple linear regression model is appropriate for this data.  Your analysis must include a written analysis (i.e. interpretation of the output) in addition to the Minitab output (this does not mean simply writing notes on the output).  For any tests, use α = 0.05.  Attach your Minitab output when handing in your assignment.