Market Strategy
From the following market-segmentation study below, present three regression models for consumer durable goods expenditures (C) as a function of all possible combinations of net income (I) and family size (F). Please provide regression results along with regression equations. Analysis should be done using Excel. The market study is below:
In a market-segmentation study, data on net income (I) in thousands, family size (F), and expenditures on consumer durable goods (C) were collected from 20 randomly selected households:
The company sponsoring the study was interested in isolating the effects of income and family size on the dollar amounts spent for consumer durable goods.
I |
F |
C |
10 |
4 |
1960 |
10 |
3 |
2390 |
15 |
4 |
3060 |
15 |
5 |
3220 |
20 |
6 |
3570 |
20 |
5 |
4360 |
25 |
7 |
4970 |
25 |
6 |
5190 |
30 |
8 |
5390 |
30 |
7 |
5550 |
Using Excel<data<data analysis<Regression
Here is the output:
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.984103 | |||||||
R Square | 0.968459 | |||||||
Adjusted R Square | 0.959447 | |||||||
Standard Error | 262.0523 | |||||||
Observations | 10 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 14759540 | 7379770 | 107.4649 | 5.57E-06 | |||
Residual | 7 | 480700 | 68671.43 | |||||
Total | 9 | 15240240 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 986 | 351.5801 | 2.804482 | 0.026354 | 154.6452 | 1817.355 | 154.6452 | 1817.355 |
I | 228.2 | 35.15801 | 6.490697 | 0.000337 | 145.0645 | 311.3355 | 145.0645 | 311.3355 |
F | -288 | 165.7365 | -1.7377 | 0.12583 | -679.904 | 103.9044 | -679.904 | 103.9044 |
The regression Equation is:
C= 986+228.2*I-288*F
Market Strategy From the following market-segmentation study below, present three regression models for consumer durable goods...