Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linearrelationship between the independent variables and the dependent variable is statistically significant? Source df SSRegression 2 984.715358 Residual 7 298.884642 Total 9 1283.600000 ANOVA MS F 492.357679 11.531217 42.697806Significance F 0.006092 Copy DataĴBased on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between theindependent variables and the dependent variable is statistically significant?Source dfSSRegression 2 984.715358Residual 7 298.884642Total9 1283.600000ANOVAMSFSignificance F492.357679 11.531217 0.00609242.697806Copy Data

Answered: Image /qna-images/answer/e2c78e7b-4035-4b18-bae1-c001ea644fcd.jpg

Answered: Based on the ANOVA table given, is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? Source df SS MS F Significance F Regression 3 1453.960807 484.653602 6.860011 0.006054 Residual 12 847.789193 70.649099 Total 15 2301.750000 A) Yes B) No
A regression analysis was performed, with partial results shown below, along with various plots. In the print-out of results, the square of the correlation coefficient is labeled “Multiple R-squared”. Explain in terms specific to this analysis (i.e., not just general terms) what this R-squared tells us. Response:ln_Income Explanatory: Age Residuals: Min 1Q Median 3Q Max -0.83978. -0.28834 -0.05761 0.25615 1.09741 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 9.680077 0.158362 61.13 < 2e-16 *** samp_reg$Age 0.016778 0.003995 4.20 5.76e-05 *** --- Residual standard error: 0.4012 on 101 degrees of freedom Multiple R-squared: 0.1487, Adjusted R-squared: 0.1403 F-statistic: 17.64 on 1 and 101 DF, p-value: 5.763e-05
Which statistic is associated only with multiple regression and not with simple regression? z-test beta adjusted R2 estimated or predicted value
Of the 6 explanatory variables below, how many are not significant at the 1% level? Observations 1338 ANOVA df SS MS Significance F Regression Residual Total 1.472E+11 2.45E+10 668.1243171 1331 48874008927 36719766 1337 1.96074E+11 Coefficients Standard Error t Stat P-value Lower 95% Intercept -13361.1 1087.671766 -12.2841 6.21526E-33 -15494.8608 age 257.2881 11.88574319 21.64678 2.84861E-89 233.9712431 bmi 332.5701 27.72216553 11.99654 1.47163E-31 278.1862322 children 479.3694 137.6442183 3.48267 0.000512527 209.3461372 gender 131.1106 332.8107041 0.393949 0.693681495 -521.780121 smoker 23820.43 411.8428778 57.83865 O 23012.50222 region 353.64 151.9265899 2.327703 0.020077148 55.59834776 O a) 1 b) 2 c) 3 d) 4
Explain how the variance inflation factor (VIF) affects the estimated standard deviation of a regression coefficient.
The owner of a new pizzeria in town wants to study the relationship between weekly revenue and advertising expenditures. All measures are recorded in thousands of dollars. The summary output for the regression model is given below. ANOVA dfdf SSSS MSMS FF Significance FF Regression 11 19.5214756219.52147562 19.5214756219.52147562 19.0348674019.03486740 0.0024032820.002403282 Residual 88 8.2045123678.204512367 1.025564051.02556405 Total 99 27.7259879927.72598799 Step 2 of 3 : What is the adjusted coefficient of determination for this model, R2aRa2? Round your answer to four decimal places.
Given the following ANOVA table: Mean Degrees Source of of Variance Freedom Sum of Sum of F-stat Squares Squares Regression 5.4 Residual 48 2.507 Total What is the value of MSR? Please report your answer in 3 decimal places.
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7. Consider the following ANOVA table for a multiple regression model: Source df SS MS F Regression 118.8475 59.42375 40.92168993 Residual 13.0692 1.452133333 Total 11 131.9167 a) Complete the remaining entries in the table. e) Test the significance of the overall regression model using a=0.05.
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df MS F Significance F Regression 3 406.124504 135.374835 0.849953 0.497712 Residual 10 1592.732639 159.273264 Total 13 1998.857143 Copy Data Answer 田 Tables 国 Keypad Keyboard Shortcuts O Yes O No
ADKAR PROSCI Mean 5.61 7.326666667 Variance 4.798172414 1.855816092 Observations 30 30 Pooled Variance 3.326994253 Hypothesized Mean Difference 0 df 58 t Stat -3.645067529 P(T<=t) one-tail 0.000286392 t Critical one-tail 1.671552762 P(T<=t) two-tail 0.000572783 t Critical two-tail 2.001717484 With a .05 significance level, determine the characteristics of the comparison distribution
Based on the scatter plot above, describe the relationship between the amount of cost damage and the distance from nearest fire station to the residential. Determine the regression line for the above regression output. Interpret the slope coefficient of distance to the nearest station affecting the amount of fire cost damage. Compute the correlation coefficient and interpret its meaning. Does the distance to the nearest fire station has significant influence on the cost damage amount? Conduct a test at 1% significance level. ] Predict the fire cost damage generated if the distance from nearest fire station is 2.5 kilometers. Is this estimate reliable? Explain. []

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