Homework Answers
F-statistic = 2.89
p_value = 0.090
here we see that p_value is greater than alpha= 0.05 or 0.01
hence we accept H0, null hypothesis. hence we do not reject H0
Add Answer to:
Also, reject H 0?
Chapter 9, Section 2, Exercise 033 Use the following ANOVA table for...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 354.12 354.12 13.84 0.000 Residual Error 359 9186.81 25.59 Total 360 9540.93 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is The p-value is
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF...
Use the following ANOVA table for regression to answer the
questions.
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1
3404.5
3404.5
22.3
0.000
Residual Error
174
26569.8
152.7
Total
175
29974.3
Give the F-statistic and p-value.
Enter the exact answers.
The F-statistic is ?
The p-value is ?
Choose the conclusion of this test using a 5% significance
level.
Reject H0. The model is effective.
Do not reject H0. We did not find evidence that the model...
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF...
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 289.0 289.0 2.01 0.158 Residual Error 174 25021.2 143.8 Total 175 25310.2 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is . The p-value is Choose the conclusion of this test using a 5% significance level. Do not reject H0. We did not find evidence that the model is effective. Reject H0. The model is...
The following table is the output of multiple linear regression analysis. a. Use the table to...
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Chapter 8, Section 2, Exercise 053 Peanut Butter vs Ham & Pickles The ANOVA table for...
Chapter 8, Section 2, Exercise 053
Peanut Butter vs Ham & Pickles
The ANOVA table for the SandwichAnts data below
indicates that there is a difference in mean number of ants among
the three types of sandwich fillings. We know that the difference
is significant between vegimite and ham & pickles, but not
between vegemite and peanut butter. What about peanut butter vs ham
& pickles? Test whether the difference in mean ant count is
significant (at a 5% level)...
Explain please! Thanks PreviouS 3 points) Use the following R ANOVA output to answer the questions...
Explain please! Thanks
PreviouS 3 points) Use the following R ANOVA output to answer the questions below. The data are grams of sugar per serving of a random sample of cereal boxes from different shelf levels to see if there is a relationship between shelf level and sugar content of cereal. sugar.by.shelf<-read.csv("sugar.csv", header TRUE) > sugar, anova ← aov(sugar.by. shelfssugar-sugar.by.shelfSShelf) >summary(sugar.anova) Df sum Sq Mean Sq F value ProF) sugar.by.shelfSshelf 2 0.2458 0.12288 9.065 0.00343 Residuals 13 0.1762 0.01356 signif....
2. Use the following technology display from a Two-Way ANOVA to answer the next 8 questions...
2. Use the following technology display from a Two-Way ANOVA to answer the next 8 questions Wildlife biologists studying beaver habitats measured the number of beaver colonies per mile identified at two randomly selected wetland habitats, under three densities of tree growth (sparse, average, or dense growth). Use a 0.05 significance level. Source df SS MS F Site 1 4 .0238 0.0872 Density 2 33.0238 0.0000 Site Density 2 0.0476 0.9819 Error 1.30158 Total 23 93.5474 a. Fill up the...
Consider the following ANOVA table for a multiple regression model. Complete parts a through e be...
*ANSWERS IN BOX ARE INCORRECT*
Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source Regression 3 3,600 1200 20 Residual 35 2,100 60 Total df SSMSF 38 5,700 a. What is the size of this sample? n41 b. How many independent variables are in this model? c. Calculate the multiple coefficient of determination. R0.5882 Round to four decimal places as needed.) d. Test the significance of the overall regression model using α=0.05...
Use the following for questions 5,6,7,8, and 9. Part of an ANOVA table is shown below....
Use the following for questions 5,6,7,8, and 9. Part of an ANOVA table is shown below. Source of Sum of Degrees of Mean F p-value Variation Squares Freedom Square Treatments 180 3 Error 16 Total 480 19 The number of treatments (i.e. groups) in the experiment is a.4 b.3 c. 19 d. 16 The mean square between treatments (MSTR) is a. 18.75 b. 60 c. 300 d. 16 The mean square due to error (MSE) is a. 60 b. 16...
· t0.025;3 = 3.182, to.025;4 = 2.776, 10.025:8 = 2.306 • F0.05;1,3 = 10.128, F0.05;1,4 =...
· t0.025;3 = 3.182, to.025;4 = 2.776, 10.025:8 = 2.306 • F0.05;1,3 = 10.128, F0.05;1,4 = 7.709, F0.05;1,8 = 5.318, F0.05;2,46 = 3.200, F0.05;3,46 = 2.807 • X2025;8 = 17.535, X3.975,8 = 2.180 2. (31 points) To investigate the effectiveness of allergy medication, ten patients were given varying doses of the allergy medication and asked to report back when the med ication seems to wear off. Assume that the simple linear regression model y = 30 + Bis is appropriate,...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 354.12 354.12 13.84 0.000 Residual Error 359 9186.81 25.59 Total 360 9540.93 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is The p-value is
Use the following ANOVA table for regression to answer the
questions.
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1
3404.5
3404.5
22.3
0.000
Residual Error
174
26569.8
152.7
Total
175
29974.3
Give the F-statistic and p-value.
Enter the exact answers.
The F-statistic is ?
The p-value is ?
Choose the conclusion of this test using a 5% significance
level.
Reject H0. The model is effective.
Do not reject H0. We did not find evidence that the model...
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Chapter 8, Section 2, Exercise 053
Peanut Butter vs Ham & Pickles
The ANOVA table for the SandwichAnts data below
indicates that there is a difference in mean number of ants among
the three types of sandwich fillings. We know that the difference
is significant between vegimite and ham & pickles, but not
between vegemite and peanut butter. What about peanut butter vs ham
& pickles? Test whether the difference in mean ant count is
significant (at a 5% level)...
Explain please! Thanks
PreviouS 3 points) Use the following R ANOVA output to answer the questions below. The data are grams of sugar per serving of a random sample of cereal boxes from different shelf levels to see if there is a relationship between shelf level and sugar content of cereal. sugar.by.shelf<-read.csv("sugar.csv", header TRUE) > sugar, anova ← aov(sugar.by. shelfssugar-sugar.by.shelfSShelf) >summary(sugar.anova) Df sum Sq Mean Sq F value ProF) sugar.by.shelfSshelf 2 0.2458 0.12288 9.065 0.00343 Residuals 13 0.1762 0.01356 signif....
2. Use the following technology display from a Two-Way ANOVA to answer the next 8 questions Wildlife biologists studying beaver habitats measured the number of beaver colonies per mile identified at two randomly selected wetland habitats, under three densities of tree growth (sparse, average, or dense growth). Use a 0.05 significance level. Source df SS MS F Site 1 4 .0238 0.0872 Density 2 33.0238 0.0000 Site Density 2 0.0476 0.9819 Error 1.30158 Total 23 93.5474 a. Fill up the...
*ANSWERS IN BOX ARE INCORRECT*
Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source Regression 3 3,600 1200 20 Residual 35 2,100 60 Total df SSMSF 38 5,700 a. What is the size of this sample? n41 b. How many independent variables are in this model? c. Calculate the multiple coefficient of determination. R0.5882 Round to four decimal places as needed.) d. Test the significance of the overall regression model using α=0.05...
Use the following for questions 5,6,7,8, and 9. Part of an ANOVA table is shown below. Source of Sum of Degrees of Mean F p-value Variation Squares Freedom Square Treatments 180 3 Error 16 Total 480 19 The number of treatments (i.e. groups) in the experiment is a.4 b.3 c. 19 d. 16 The mean square between treatments (MSTR) is a. 18.75 b. 60 c. 300 d. 16 The mean square due to error (MSE) is a. 60 b. 16...
· t0.025;3 = 3.182, to.025;4 = 2.776, 10.025:8 = 2.306 • F0.05;1,3 = 10.128, F0.05;1,4 = 7.709, F0.05;1,8 = 5.318, F0.05;2,46 = 3.200, F0.05;3,46 = 2.807 • X2025;8 = 17.535, X3.975,8 = 2.180 2. (31 points) To investigate the effectiveness of allergy medication, ten patients were given varying doses of the allergy medication and asked to report back when the med ication seems to wear off. Assume that the simple linear regression model y = 30 + Bis is appropriate,...
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