a)
explanatory - number of female specialist
response - number of male specialist
b) r = 0.31814
Regression Statistics | |||||
Multiple R | 0.318147782 | ||||
R Square | 0.101218012 | ||||
Adjusted R Square | -0.078538386 | ||||
Standard Error | 6361.344876 | ||||
Observations | 7 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 22786169.69 | 22786169.69 | 0.563084334 | 0.486809538 |
Residual | 5 | 202333543.2 | 40466708.63 | ||
Total | 6 | 225119712.9 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 3002.566383 | 6909.249964 | 0.434571972 | 0.681988393 | -14758.22607 |
female | 1.40810476 | 1.876498598 | 0.750389455 | 0.486809538 | -3.41558845 |
c)
Male^ = 3002.566383 +1.40810476 *female
Quantitative Reasoning Outcomes Assessment Although more and more women are becoming physicians each year, it is...