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Q 10: Shown below is a portion of an Excel output for regression analysis relating Y...
O 10 an relatin sile) and shown below is, Excel output for portion of analysis Y...
O 10 an relatin sile) and shown below is, Excel output for portion of analysis Y Celependent regression Cdependent vari Cinde pendent variable) х ANOVA df Regression 3338,312 Residual 1 2036.195 Total 9 14514.400 coefficients standad tstat P-value error Intercept 241.67 83.280 1.684 0.030 148.27 38-312 1.283 0.035 a) what is the estimated equation that relates y regression +o b) what is the estimated value of Y if x = 3.5? c) Compute the value of the coefficient determination and...
BUSINESS STATISTICS Shown below is a portion of a computer output for a regression analysis relating...
BUSINESS STATISTICS
Shown below is a portion of a computer output for a regression analysis relating demand (y in thousands of units) and unit price (x in thousands of dollars). ANOVA SS 5048.818 Regression Residual Total 8181.479 Standard Error Intercept Coefficients 80.390 -2.137 What is the value of sample correlation coefficient? O 0.7856 0 -0.6171 0 0.6171 0 -0.7856
Below you are given a partial computer output based on a sample of 8 observations, relating...
Below you are given a partial computer output based on a sample of 8 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 7.032 0.184 t-Stat -1.3456 4.1793 Intercept Analysis of Variance SOURCE Regression Error (Residual) 400 138 a. Develop the estimated regression line. b. At a = 0.05, perform an F test. C. Determine the coefficient of determination.
Below you are given a partial computer output based on a sample of 21 observations, relating...
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 1.181 Intercept 30.139 0.022 X -0.252 Analysis of Variance SOURCE SS Regression 1,759.481 259.186 Error Develop the estimated regression line At a 0.05, perform an F test. Determine the coefficient of determination. a. b. c. d. Determine the coefficient of correlation.
Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable)...
Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable) is shown below. Provide the values for a-e shown in the table below. (See section 15.5) Summary Output ANOVA df SS MS F Significance F Regression 1 2.7500 -d- -e- 0.632 Residual -a- -b- 11.45 Total 14 -c- A Company has recorded data on daily demand for its product (y in thousands of units) and the unit price (x in hundreds of dollars). A...
A real estate research firm has developed a regression model relating list price (Y in 1,000)...
A real estate research firm has developed a regression model relating list price (Y in 1,000) with two independent variables. The two independent variables are number of bedrooms and size of the property. Part of the regression results are shown below. ANOVA MS Regression 256881.37 128440.68 Residual 42 726699.96 17302.38 Coefficients Standard Error Star Intercept 54.298 # Bedrooms 53.634 71.326 5.271 33.630 Acres 21.458 1. What has been the sample size? (2 Points) 2. What is the value of the...
HW # 5 Linear Regression: Use Data Analysis in Excel to conduct the Regression Analysis to...
HW # 5 Linear Regression: Use Data Analysis in Excel to conduct the Regression Analysis to reproduce the excel out put below (Note: First enter the data in the next page in an Excel spreadsheet) Home Sale Price: The table below provides the Excel output of a regression analysis of the relationship between Home sale price(Y) measured in thousand dollars and Square feet area (x): SUMMARY OUTPUT Dependent: Home Price ($1000) Regression Statistics Multiple R 0.691 R Square 0.478 Adjusted...
In simple regression analysis the quantity that gives the amount by which...
17. In simple regression analysis the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called theA. Coefficient of determinationB. Slope of the regression lineC. Y intercept of the regression lineD. Correlation coefficientE. Standard error18. A simple regression analysis with 20 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.A. 1, 20B. 18,19C. 19, 20D. 1, 19E. 18, 2019. The correlation coefficient may assume...
Below you are given a partial computer output based on a sample of fifteen (15) observations....
Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 1 50.58 Residual Total 14 106.00 Coefficients Standard Error t Stat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26 0.0000 The coefficient of determination is. 0.5228 0.4772 0.6535 0.3465
(10 points) The following regression output is available. Notice that some of the values are missing....
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
O 10 an relatin sile) and shown below is, Excel output for portion of analysis Y Celependent regression Cdependent vari Cinde pendent variable) х ANOVA df Regression 3338,312 Residual 1 2036.195 Total 9 14514.400 coefficients standad tstat P-value error Intercept 241.67 83.280 1.684 0.030 148.27 38-312 1.283 0.035 a) what is the estimated equation that relates y regression +o b) what is the estimated value of Y if x = 3.5? c) Compute the value of the coefficient determination and...
BUSINESS STATISTICS
Shown below is a portion of a computer output for a regression analysis relating demand (y in thousands of units) and unit price (x in thousands of dollars). ANOVA SS 5048.818 Regression Residual Total 8181.479 Standard Error Intercept Coefficients 80.390 -2.137 What is the value of sample correlation coefficient? O 0.7856 0 -0.6171 0 0.6171 0 -0.7856
Below you are given a partial computer output based on a sample of 8 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 7.032 0.184 t-Stat -1.3456 4.1793 Intercept Analysis of Variance SOURCE Regression Error (Residual) 400 138 a. Develop the estimated regression line. b. At a = 0.05, perform an F test. C. Determine the coefficient of determination.
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 1.181 Intercept 30.139 0.022 X -0.252 Analysis of Variance SOURCE SS Regression 1,759.481 259.186 Error Develop the estimated regression line At a 0.05, perform an F test. Determine the coefficient of determination. a. b. c. d. Determine the coefficient of correlation.
A real estate research firm has developed a regression model relating list price (Y in 1,000) with two independent variables. The two independent variables are number of bedrooms and size of the property. Part of the regression results are shown below. ANOVA MS Regression 256881.37 128440.68 Residual 42 726699.96 17302.38 Coefficients Standard Error Star Intercept 54.298 # Bedrooms 53.634 71.326 5.271 33.630 Acres 21.458 1. What has been the sample size? (2 Points) 2. What is the value of the...
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
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