Using Excel, go to Data, select Data Analysis, choose Regression. Put Age in X input range and Selling Price in Y input range.
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.754 | |||||
| R Square | 0.568 | |||||
| Adjusted R Square | 0.525 | |||||
| Standard Error | 1.655 | |||||
| Observations | 12 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 36.0749 | 36.0749 | 13.1651 | 0.0046 | |
| Residual | 10 | 27.4018 | 2.7402 | |||
| Total | 11 | 63.4767 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 13.314621 | 1.809 | 7.359 | 0.000 | 9.284 | 17.346 |
| Age | -0.538833 | 0.149 | -3.628 | 0.005 | -0.870 | -0.208 |
a) Regression equation
y = a+bx
a = 13.315, b = -0.539
Selling price = 13.315 - 0.539*Age
b) Age = 6
Selling price = 13.315621 - 0.538833*6= 10.082623 (thousands)
Selling price = 10.082623*1000 = $10082.623
c) For each additional year, the car's selling price decreases by 539 dollars.(0.538833*1000=538.833)
the owner of maumee Ford-Volvo Saved Help Save & Exit Check my The owner of Maumee...
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