Evaluate the following regression results. Consider probability greater than 0.10 to mean that there is no...
Evaluate the following regression results. Consider probability greater than 0.10 to mean that there is no relationship between the dependent and independent variable.
| Coefficients | P-value | |
| Intercept | 9.695602 | 0.00000 |
| Trespassing | 4.123053 | 0.00009 |
| Bars | 7.064593 | 0.00000 |
| Drunkennes | 24.2334 | 0.00003 |
| Fraud | 0.112239 | 0.23405 |
| Regression Statistics | ||
| R Square | 0.432064 | |
Dependent variable: short term rentals in Nashville. TN (Davidson county).
For each independent variable:
a. Explain the coefficient results
b. Explain the P-values results
c. Explaine the R-squared results
Homework Answers
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Evaluate the following regression results. Consider probability
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only part II is needed Regardless of your answer to (a), you come up with the following multiple regression model. b. Coefficients: Estimate Std. Error t value Pr>lt (Intercept) 72.2285 1.2697 56....
only part II is needed
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18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression...
18
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In determining if this regression is significant, I observed the following, am I taking the correct...
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To check if your results are reliable (statistically
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than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
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Consider the following regression results: Describe how the response y depends on the regressor x. What...
Consider the following regression results:
Describe how the response y depends on the regressor x. What is
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what do these coefficients represent? The Residuals vs. fitted plot
is used to assess what assumption? What does the above plot tell
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Call: Im(formula = y ~ X, data = d) Residuals: Min 1Q Median 3Q Max...
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Consider the excel regression above. What null hypothesis is the (default) F-test, which is reported on the results, testing? What is the calculated F-statistic value and what is the p-value of the te...
Consider the excel regression
above. What null hypothesis is the (default) F-test, which is
reported on the results, testing? What is the calculated
F-statistic value and what is the p-value of the test? How many
numerator degrees of freedom (restrictions) are involved?
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only part II is needed
Regardless of your answer to (a), you come up with the following multiple regression model. b. Coefficients: Estimate Std. Error t value Pr>lt (Intercept) 72.2285 1.2697 56.89 2e-16 X2 X3 Residual standard error: 7.25 on 191 degrees of freedom Multiple R-squared: 0.494, Adjusted R-squared: 0.489 F-statistic: 93.3 on 2 and 191 DF, p-value: <2e-16 0.4590 0.0524-8.76 1.1e-15 0.4146 0.1290 3.21 0.0015** I) What percentage of the total variation in Life Expectancy can you explain with...
Problem 2.43 The following simple regression results used revenue as a potential cost driver for research and development costs: SUMMARY OUTPUT Regression Statistics Multiple R 0.462332038 R-square 0.213750914 Adjusted R-square 0.185670589 Standard error 10,894.44062 Observations 30 Coefficients Standard Error t-Statistic p-value Intercept 50,364 10,834.0628 4.648761758 7.2426E-05 Revenue 0.008179276 0.002964572 2.759007802 0.01010244 (b) Using the regression results, write the cost function for research and development costs. (Round variable cost percentage to 2 decimal places, e.g. 8.92% and other answer to o...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
Consider the following regression results:
Describe how the response y depends on the regressor x. What is
the formula for the regression line? What is the B0 and B1, and
what do these coefficients represent? The Residuals vs. fitted plot
is used to assess what assumption? What does the above plot tell
you about your data? (remember to round all answers to 3 decimal
places)
Call: Im(formula = y ~ X, data = d) Residuals: Min 1Q Median 3Q Max...
Consider the excel regression
above. What null hypothesis is the (default) F-test, which is
reported on the results, testing? What is the calculated
F-statistic value and what is the p-value of the test? How many
numerator degrees of freedom (restrictions) are involved?
Regression Statistics MultipleR 0.267643168 0.071632865 R Square Adj R Square 0.068838449 Standard Error571.4177199 Observations 3000 ANOVA df Significance F MS 9 75330553.98 8370061.553 25.634287096.23834E-43 Regression Residual 2990976289449.8 326518.2106 Total 2999 1051620004 Coefficients Standard ErrortStat P-value Lower 95% Upper...
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