d)
correlation is negative
it is strong
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.904534034 | ||||
R Square | 0.818181818 | ||||
Adjusted R Square | 0.795454545 | ||||
Standard Error | 79.0569415 | ||||
Observations | 10 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 225000 | 225000 | 36 | 0.000323393 |
Residual | 8 | 50000 | 6250 | ||
Total | 9 | 275000 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 673.5294118 | 51.99314568 | 12.95419623 | 1.19425E-06 | 553.6330028 |
x | -88.23529412 | 14.70588235 | -6 | 0.000323393 | -122.1471196 |
y^= 673.5294 -88.2353 x
c)
when number of oil change increase by 1 , cost of repair decreases by 88.2353
d)
y^= 673.5294 -88.2353 *7
= 55.8824
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