Regression Statistics Multiple R R Square Adjusted R Square Standard Error Obser

Question

Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.330 0.109 0.002 12704.800 10 ANOVA Significance F 0.351 MS Regression Residual Total 1 158157585.094 158157585.094 0.980 8 1291295550.506 161411943.813 9 1449453135.600 Coefficients Standard Error 17896.383 0.513 P-value Lower 95% Upper g 5.072 0.001 49496.778 132035.0 1.6 t Stat 90765.911 0.508 Intercept 0.990 0.351 0.675 Tution It can be observed that the final regression equation is Salary 9076591-0 5076 (tuition) Page I 1 Ty on serate increases

Explanation / Answer

Solving first question,

1) The correct answer is C. Mean Average starting salary is expected to increae by 0.51 for each 1 dollar increase in tuition.

2) Yes, because the hypothesized slope and actual slope coefficient are both positive.

3) The correct answer is C. Yes, there is evidence.

4) Positive because salary is expected to increase as tuition increases.

Related Questions

Navigate

• Browse (All)
• Browse R
• Subjects

---