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(Solved): Question 13 2.5 pts Below is output of a regression used to predict the selling price of a house. S ...




Question 13
2.5 pts
Below is output of a regression used to predict the selling price
of a house.
SUMMARY OUTPUT
Regression S
Standard
t Stat P-value
Error
Intercept
6930 5810
1.19 0.24
Square Feet
23
6
3.70 0.00
Age
46
152
0.30 0.76
Annual Tax
77
11
Question 13 2.5 pts Below is output of a regression used to predict the selling price of a house. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Intercept Square Feet 0.90 0.81 0.80 16883.29 117 Coefficients Standard t Stat P-value Error 6930 5810 1.19 0.24 23 6 3.70 0.00 Standard t Stat P-value Error Intercept 6930 5810 1.19 0.24 Square Feet 23 6 3.70 0.00 Age 46 152 0.30 0.76 Annual Tax 77 11 6.83 0.00 The regression equation derived from this output is: O? ? = 6930 + 5810x? + 1.19x2 +0.24x3 ? = = 5810 + 6x? + 152x? + 11x3 O The regression equation cannot be derived from this section of output. O? = 6930 +23x? +46x? + 77x3 Coefficients 151


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