Call: lm(formula = priceM2 - age + distMet + latitude + longitude, data = RealEstate) Residuals: 30 10 Median -33.069 -5.343 -1.050 4.410 71.305 Min Маx Coefficients: Estimate -3.650e+03 Std. Error 6.478e+03 t value -0.563 -6.221 Pr (>|t|) 0.573 (Intercept) 1.22e-09 *** 9.88e-16 *** 1.13e-08 *** 0.621 -2.526e-01 4.060e-02 Age distMet -5.875e-03 7.027e-04 -8.361 latitude 2.714e+02 4.655e+01 5.830 longitude -2.532e+01 5.120e+01 -0.495 Signif. codes: 0 ***** 0.001 '*** 0.01 * 0.05 '.' 0.1''1 Residual standard error: 9.355 on 409 degrees of freedom Multiple R-squared: 0.5319, Adjusted R-squared: 0.5273 F-statistic: 116.2 on 4 and 409 DF, p-value: < 2.2e-16 f) A new variable is added to the model which is longitude of the residence. Summary output is given above. What do you think of the new model? Do you think this variable should be added to the model,

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter2: Functions And Graphs
Section2.3: Linear Functions And Slope
Problem 106E
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please explain with an example.

 

Call:
1m (formula = priceM2 - age + distMet + latitude + longitude,
data = RealEstate)
Residuals:
10 Median
-33.069 -5.343 -1.050
Min
30
4.410 71.305
Маx
Coefficients:
t value
-0.563
Estimate
Std. Error
Pr (>|t|)
0.573
(Intercept)
Age
-3.650e+03
6.478e+03
1.22e-09 **
9.88e-16 **
1.13e-08 **
-2.526e-01
4.060e-02
-6.221
distMet
-5.875e-03
7.027e-04
-8.361
latitude
2.714e+02
4.655e+01
5.830
longitude
-2.532e+01
5.120e+01
-0.495
0.621
Signif. codes: 0 ***** 0.001 '*** 0.01 '** 0.05 '.' 0.1''1
Residual standard error: 9.355 on 409 degrees of freedom
Multiple R-squared: 0.5319, Adjusted R-squared: 0.5273
F-statistic: 116.2 on 4 and 409 DF, p-value: < 2.2e-16
f) A new variable is added to the model which is longitude of the residence. Summary output is given
above. What do you think of the new model? Do you think this variable should be added to the model,
Transcribed Image Text:Call: 1m (formula = priceM2 - age + distMet + latitude + longitude, data = RealEstate) Residuals: 10 Median -33.069 -5.343 -1.050 Min 30 4.410 71.305 Маx Coefficients: t value -0.563 Estimate Std. Error Pr (>|t|) 0.573 (Intercept) Age -3.650e+03 6.478e+03 1.22e-09 ** 9.88e-16 ** 1.13e-08 ** -2.526e-01 4.060e-02 -6.221 distMet -5.875e-03 7.027e-04 -8.361 latitude 2.714e+02 4.655e+01 5.830 longitude -2.532e+01 5.120e+01 -0.495 0.621 Signif. codes: 0 ***** 0.001 '*** 0.01 '** 0.05 '.' 0.1''1 Residual standard error: 9.355 on 409 degrees of freedom Multiple R-squared: 0.5319, Adjusted R-squared: 0.5273 F-statistic: 116.2 on 4 and 409 DF, p-value: < 2.2e-16 f) A new variable is added to the model which is longitude of the residence. Summary output is given above. What do you think of the new model? Do you think this variable should be added to the model,
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