a. no relationship
b. moderate inverse relationship
c. strong direct relationship
d. weak direct relationship
Homework Answers
Option c) is correct.
c. strong direct relationship
Multiple R=0.944744 is very close to +1
Add Answer to:
a. no relationship
b. moderate inverse relationship
c. strong direct relationship
d. weak direct relationship
Using...
a. strong direct relationship b. no relationship c. moderate inverse relationship d. weak inverse relationship Using...
a. strong direct relationship
b. no relationship
c. moderate inverse relationship
d. weak inverse relationship
Using the following regression statistics select which one of the following best represents the relationship between the Height of the employee and their Salary? Regression Statistics: [Multiple R=0.867597; R Square = 0.752725; Intercept=28.45268; Inches=0.97656]
a. y=.867+.7527(x) b. y=.9765+28.452(x) c. y=28.452-.9765(x) d. y=28.452+.9765(x) Using the following regression statistics select which of...
a. y=.867+.7527(x)
b. y=.9765+28.452(x)
c. y=28.452-.9765(x)
d. y=28.452+.9765(x)
Using the following regression statistics select which of the following represents the regression equation for the height vs. salary data? Regression Statistics: [Multiple R=0.867597; R Square=0.752725; Intercept=28.45268; Inches=0.97656]
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak...
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak relationship, or no relationship at all: a) -0.74 b) -0.12 c) +0.28 d) -0.93 e) +0.84 f) Now place these correlation coefficients in order from weakest to strongest relationship.
c) Is the relationship direct or inverse? It will be a direct relation. 3. a) Complete...
c) Is the relationship direct or inverse? It will be a direct relation. 3. a) Complete the table below. LE+ tast 251 0.125 0.23 0.125 0.4375 + 0.34 0.5 0.5625 y/x у 2 4 8 16 16 32 b) On graph paper plot y vs. x (appropriately labeling all axes as well as graphing the best fitting line/curve to the data points). c) Is the relationship between the y and x data pairs linear or non-linear? d) Is the relationship...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis performed using Microsoft Excel showed the following information: 0.92 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 148,38 ANOVA df F 52.06221 Significance F 0.0000 1 Regression Residual Total SSMS 573116.9 573117 110083.1 11008 683200 10 11 t Coefficients Standard Error 1263.34 806.85 0.26 0.05 Stat 1.57 Intercept X...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
Simple Linear regression 1. A researcher uses a simple linear regression to measure the relationship between...
Simple Linear regression
1. A researcher uses a simple linear regression to measure the relationship between the monthly salary (Salary measured in dollars) of data scientists and the number of years since being awarded a Master degree (Master Degree). A random sample of 80 observations was collected for the analysis. A researcher used the econometric model which has the following specification Salary,-β0 + β, Master-Degree, + εί, where i = 1, , 80 The (incomplete) Excel output of equation (1)...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month Machine Hours Electricity Costs January 2,600 $ 19,250 February 3,000 $ 22,700 March 2,000 $ 14,350 April 3,200 $ 24,700 May 3,900 $ 29,100 June 3,400 $ 23,700 July 4,200 $ 25,600 August 3,600 $ 23,600 September 2,100 $ 17,200 October 3,800 $ 27,700 November...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,300 2,700 1,700 2,900 3,600 3, 100 3,900 3,300 1,800 3,500 4,500 4,000 Electricity Costs $19, 100 $22,400 $14,200 $24,400 $28,950 $23,400 $25,450 $23,450 $ 16,900 $27,400 $32,400 $28,450 Summary Output Regression...
a. strong direct relationship
b. no relationship
c. moderate inverse relationship
d. weak inverse relationship
Using the following regression statistics select which one of the following best represents the relationship between the Height of the employee and their Salary? Regression Statistics: [Multiple R=0.867597; R Square = 0.752725; Intercept=28.45268; Inches=0.97656]
a. y=.867+.7527(x)
b. y=.9765+28.452(x)
c. y=28.452-.9765(x)
d. y=28.452+.9765(x)
Using the following regression statistics select which of the following represents the regression equation for the height vs. salary data? Regression Statistics: [Multiple R=0.867597; R Square=0.752725; Intercept=28.45268; Inches=0.97656]
c) Is the relationship direct or inverse? It will be a direct relation. 3. a) Complete the table below. LE+ tast 251 0.125 0.23 0.125 0.4375 + 0.34 0.5 0.5625 y/x у 2 4 8 16 16 32 b) On graph paper plot y vs. x (appropriately labeling all axes as well as graphing the best fitting line/curve to the data points). c) Is the relationship between the y and x data pairs linear or non-linear? d) Is the relationship...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis performed using Microsoft Excel showed the following information: 0.92 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 148,38 ANOVA df F 52.06221 Significance F 0.0000 1 Regression Residual Total SSMS 573116.9 573117 110083.1 11008 683200 10 11 t Coefficients Standard Error 1263.34 806.85 0.26 0.05 Stat 1.57 Intercept X...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
Simple Linear regression
1. A researcher uses a simple linear regression to measure the relationship between the monthly salary (Salary measured in dollars) of data scientists and the number of years since being awarded a Master degree (Master Degree). A random sample of 80 observations was collected for the analysis. A researcher used the econometric model which has the following specification Salary,-β0 + β, Master-Degree, + εί, where i = 1, , 80 The (incomplete) Excel output of equation (1)...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,300 2,700 1,700 2,900 3,600 3, 100 3,900 3,300 1,800 3,500 4,500 4,000 Electricity Costs $19, 100 $22,400 $14,200 $24,400 $28,950 $23,400 $25,450 $23,450 $ 16,900 $27,400 $32,400 $28,450 Summary Output Regression...
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