Regression Assignment 1 1 Generate A Regression You Have Been Recently Hired As A Marketing Research Assistant By Amazo 1 (53.75 KiB) Viewed 14 times
Regression Assignment 1 1 Generate A Regression You Have Been Recently Hired As A Marketing Research Assistant By Amazo 2 (69.12 KiB) Viewed 14 times
Regression Assignment 1 1 Generate A Regression You Have Been Recently Hired As A Marketing Research Assistant By Amazo 3 (125.59 KiB) Viewed 14 times
Regression Assignment 1 1 Generate A Regression You Have Been Recently Hired As A Marketing Research Assistant By Amazo 4 (122.74 KiB) Viewed 14 times
Regression Assignment 1 1 Generate a Regression: You have been recently hired as a marketing research assistant by Amazon. As your first assignment, you have been given the data set on the reverse side of this sheet for analysis. You have been asked to determine the nature and strength of the relationship between average expenditure and each of two variables, Age and Income measured in thousands of dollars. Tasks: 1. Run Correlation Coefficients for Average Expenditure, Age and Income. What do these numbers mean? 2. Run two regressions using Age as the independent variable in one and Income in the other. Print the results of each regression. Examine the r² for each regression and briefly explain what it means. Run a t test for each slope coefficient and explain the outcomes. Explain the meaning of each regression's coefficients. Using your equations, predict the average expenditure for a customer who has an income of $40,000 and, a customer who is 30 years of age. (Just the point estimates from the equations). 3. 4. 5. a.
H B 37 38 39 40 41 23445 46 47 48 49 50 545 750 545 499 602 488 415 444 322 145 810 1205 559 D 77 145 66 70 82 51 49 66 34 22 19 155 200 111 E353455346 39 31 38 25 21 2 38 43 151 26 22 G
18 89 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 Sheet1 580 1600 740 1180 500 445 278 115 456 189 455 302 255 168 255 315 730 552 488 99 304 115 203 88 55 42 26 73 21 38 39 36 41 29 37 116 69 84 52 62 54 58 43 32 30 25 34 20 33 25 29 31 23 33 42 44 30
Kam 1 23 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Average Expenditure Income (x $1,000)| Age 55 44 62 36 102 51 225 49 48 34 32 28 26 24 44 36 98 42 72 50 55 36 63 27 18 19 62 35 43 410 551 677 1120 325 334 200 400 648 550 350 375 149 475 350 298 235 55 40 33 29 24
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