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0.9373546 1.0183643'a' 1.1671257 b 0.6809438 'b 0.5032951 'c' 0.4917953 'c 0.5048743'c Table 1: Data Question 2:...
Question 2
2. A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 =female, 1 = male) and job type (0 =clerical, 1 = technical). The following ANOVA summarizes the regression results:1. Based on the ANOVA and a 0.05 significance level, the global null hypothesis test of the multiple regression modelA. Will be rejected and conclude that monthly salary is related to all of the independent variablesB. Will...
1. Three different metal alloys were tested for tensile strength. The strength of some examples of each alloy...
1. Three different metal alloys were tested for tensile strength. The strength of some examples of each alloy measured (in hundreds of megapascals), as follows. was Alloy Tensile strength of some examples 19.8 12.4 1 15.2 14.8 2 8.9 11.6 10.0 11.9 3 10.5 13.8 12.1 Source: the data come from Berenson and Levine (1998), Business Statistics: A First Course, p. 449, Question 10.27, but shortened.) Taking the types of alloy one-way ANOVA. The following R commands were used: as...
The Book of R (Question 20.2) Please answer using R code. Continue using the survey data...
The Book of R (Question 20.2) Please answer using R code. Continue using the survey data frame from the package MASS for the next few exercises. The survey data set has a variable named Exer , a factor with k = 3 levels describing the amount of physical exercise time each student gets: none, some, or frequent. Obtain a count of the number of students in each category and produce side-by-side boxplots of student height split by exercise. Assuming independence...
Oehlert provides data from a small experiment with n = 16 observations on baking packaged cake...
Oehlert provides data from a small experiment with n = 16 observations on baking packaged cake mixes. Two factors, X1 = baking time in minutes and X2 = baking temperature in degrees F, were varied in the experiment. The response Y was the average palatability score of four cakes baked at a given combination of (X1, X2), with higher values desirable. We fit the full second model Model I: Y; = Bo + B1211 + B22:2 +B112 + B2222 Model...
QUESTION TWO The following outputs show the results of a study conducted on life expectancy of...
QUESTION TWO The following outputs show the results of a study conducted on life expectancy of some sampled people across the globe. Three important variables were of interest. They were adult illiteracy, quality of life and family size. Outputs: Table 2. ANOVA Model df Sig. Sum of Squares 34427.688 3870.862 38298.550 Mean F Square 11475.896 521.785 21.994 Regression Residual Total w 0.000 176 179 Table 3. Coefficients Model Sig. (Constant) Adult Illiteracy Quality of Life Rel. Family Size Unstandardized Coefficients...
Ignore Number 6 5. A sample of 30 houses that were sold in the last year...
Ignore Number 6
5. A sample of 30 houses that were sold in the last year was taken. The value of the house (y, in dollars) was estimated. The independent variables included in the analysis were the number of rooms (xi), the size of the lot (x2, in sq ft), the number of bathrooms (x3), and a dummy variable (x4), which equals 0 if the house does not have a garage and equals 1 otherwise. The following regression results were...
Anova question please help! Based on the ANOVA table given, is there enough evidence at the...
Anova question please help!
Based on the ANOVA table given, is there enough evidence at the 0.01 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source a $S MSSignficance F Regression 2 880.261574 440.130787 41.335819 0000777 Residual 5 53.238426 10.647685 Significance F Total 7 933500000 Copy Data Answer 2 Points il Keypad mTables Prev Next O Yes O No
Use the data below to answer questions 1 to 6. Use a multiple linear regression model with linear main effects onl...
Use the data below to answer questions 1 to 6. Use a multiple linear regression model with linear main effects only Show all calculations. No credit will be given for computer output x2 x1 7.2 0 8.1 0 9.8 12.3 12.9 0 50.3 0 Sum 531.19 2 Sum of Squares Write out the ANOVA table. Show the matrix calculations of SSreg, SSes and SSpotal HTML Editon 0 words 띠+ 3 5 6 7 8 9 Y U O P D...
Please help with 4. a) b) c)
1. Use the LNU dataset that allows you to estimate a wage equation. Estimate a wage equation including a dummy variable for female (FEMALE). Interpret the estimated coefficient for the variable Female. 2. Estimate the same model adding a dummy variable for public sector (PUBLIC). Interpret the estimated coefficient for the variable PUBLIC. Compare the estimate for FEMALE in this model and the model above where the variable PUBLIC was not included.3. Estimate the wage equations above separately for Men and...
Models 1-7 are below Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% p...
Models 1-7 are below
Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% prediction interval for reading ability When age 6, mem span 4.2 and ig 91. Regression [DataSetll C:\Usersn.little5773 Downloads\child data.sav Variables Entered/Removed Variables Entered Variables Removed Method Model Enter age a. Dependent Variable: reading ability b. All requested variables entered. Model Summary Adjusted R Square Std. Error o R...
1. Three different metal alloys were tested for tensile strength. The strength of some examples of each alloy measured (in hundreds of megapascals), as follows. was Alloy Tensile strength of some examples 19.8 12.4 1 15.2 14.8 2 8.9 11.6 10.0 11.9 3 10.5 13.8 12.1 Source: the data come from Berenson and Levine (1998), Business Statistics: A First Course, p. 449, Question 10.27, but shortened.) Taking the types of alloy one-way ANOVA. The following R commands were used: as...
Oehlert provides data from a small experiment with n = 16 observations on baking packaged cake mixes. Two factors, X1 = baking time in minutes and X2 = baking temperature in degrees F, were varied in the experiment. The response Y was the average palatability score of four cakes baked at a given combination of (X1, X2), with higher values desirable. We fit the full second model Model I: Y; = Bo + B1211 + B22:2 +B112 + B2222 Model...
QUESTION TWO The following outputs show the results of a study conducted on life expectancy of some sampled people across the globe. Three important variables were of interest. They were adult illiteracy, quality of life and family size. Outputs: Table 2. ANOVA Model df Sig. Sum of Squares 34427.688 3870.862 38298.550 Mean F Square 11475.896 521.785 21.994 Regression Residual Total w 0.000 176 179 Table 3. Coefficients Model Sig. (Constant) Adult Illiteracy Quality of Life Rel. Family Size Unstandardized Coefficients...
Ignore Number 6
5. A sample of 30 houses that were sold in the last year was taken. The value of the house (y, in dollars) was estimated. The independent variables included in the analysis were the number of rooms (xi), the size of the lot (x2, in sq ft), the number of bathrooms (x3), and a dummy variable (x4), which equals 0 if the house does not have a garage and equals 1 otherwise. The following regression results were...
Anova question please help!
Based on the ANOVA table given, is there enough evidence at the 0.01 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source a $S MSSignficance F Regression 2 880.261574 440.130787 41.335819 0000777 Residual 5 53.238426 10.647685 Significance F Total 7 933500000 Copy Data Answer 2 Points il Keypad mTables Prev Next O Yes O No
Use the data below to answer questions 1 to 6. Use a multiple linear regression model with linear main effects only Show all calculations. No credit will be given for computer output x2 x1 7.2 0 8.1 0 9.8 12.3 12.9 0 50.3 0 Sum 531.19 2 Sum of Squares Write out the ANOVA table. Show the matrix calculations of SSreg, SSes and SSpotal HTML Editon 0 words 띠+ 3 5 6 7 8 9 Y U O P D...
Models 1-7 are below
Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% prediction interval for reading ability When age 6, mem span 4.2 and ig 91. Regression [DataSetll C:\Usersn.little5773 Downloads\child data.sav Variables Entered/Removed Variables Entered Variables Removed Method Model Enter age a. Dependent Variable: reading ability b. All requested variables entered. Model Summary Adjusted R Square Std. Error o R...
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