Homework Answers
There is no mlticolinearity becuase non of variable are strongly correlated amomg each other we can see there is no correlation between among more that 0.8 if r=1 or 0.9 means there is perfect correlation so there is no variable which have r= 0.9 among other variable So we conlcude that there is no multicolinearity .
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Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not?...
Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not?...
Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not? Use at least two examples from your correlation matrix as part of your explanation. Correlations Number of bedrooms Number of bathrooms (fractions) Number of floors Building Condition Year built Building Grade .376 Number of bedrooms Pearson Correlation 1 551" Lot size (square feet) .132" .000 796 Square feet of finished living space .637" .000 796 .711" 278 .049 233 .000 .000 .000 .000 796...
Please help in solving this. Explain whether there are any correlations that suggest the problem of...
Please help in solving this.
Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not? Use at least two examples from your correlation matrix as part of your explanation. Number of bedrooms Correlations Number of Square feet of bathrooms finished living (fractions) space 551" .637" Number of floors .278" Lot size (square feet) .132" .000 796 Building Condition .049 .171 Building Grade .376" Year built 233" Number of bedrooms 1 .000 .000 .000 .000...
Explain the meanings of this Pearsons correlation Correlations Square Foota ge ListPrice N Square Footage Pearson...
Explain the meanings of this Pearsons correlation
Correlations Square Foota ge ListPrice N Square Footage Pearson Correlation 1 .841* Sig. (2-tailed) .000 245 245 ListPrice Pearson Correlation Sig. (2-tailed) .000 245 245 **. Correlation is significant at the 0.01 level (2-tailed). .841**
"Are there any of the independent variables (not including the constant) that are statistically not significant...
"Are there any of the independent variables (not including the
constant) that are statistically not significant at the 0.10 level
or lower? If yes, drop them from the list of independent
variables.... . Continue the process until all of the independent
variables are significant at least at the 0.10 level or lower.
"
Coefficients a Standardized Coefficients Unstandardized Coefficients Collinearity Statistics Tolerance VIF Model B Std. Error Beta t Sig. 1 4790324.307 348934.230 13.728 .000 (Constant) Number of bedrooms -6950.604...
+ Difference Between Binomial and X ignments/833005 LIBtiariwdVasna 20 30 50 60 01 05 40 10...
+ Difference Between Binomial and X ignments/833005 LIBtiariwdVasna 20 30 50 60 01 05 40 10 70 80 30 640 490 360 250 160 380 902 090 040 2 810 010 002 0+ C 30 420 480 500 320 020 098 180 A80 180 020 250 002 040 090 360 640 0+ 010 160 00 se0 2 857 343 216 064 027 008 01 970 512 125 0 243 375 096 135 432 384 441 280 007 189 375 007...
CAN BE DONE IN ANY LANGUAGE UID Values will be from 000 to 100: 001 002...
CAN BE DONE IN ANY LANGUAGE
UID Values will be from 000 to
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Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA)...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...
WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234...
WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234 3.09428 9673 1.73445 15.2103 6.02870 depression total fsmast momdrink DIF 214 214 214 Pearson Correlation depression total fsmast momdrink -104 .011 1.000 038 momdrink DIF 471 .111 038 1.000 .000 .053 291 DIF Sig. (1-tailed) 064 Correlations depression total fsmast 1.000 227 227 1.000 104 .011 -471 .111 .000 .000 .064 436 .000 .053 214 214 214 214 214 214 214 depression total fsmast...
2 homework a Derick Iverson is a divisional manager for Holston Company. His annual pay raises...
2 homework a Derick Iverson is a divisional manager for Holston Company. His annual pay raises are largely determined by his division's return on Investment (ROI), which has been above 20% each of the last three years. Derrick is considering a capital budgeting project that would require a $3,000,000 investment in equipment with a useful life of five years and no salvage value. Holston Company's discount rate is 15%. The project would provide net operating income each year for five...
look at each test on pic above and answer the question below: Interpret the result in APA stat (1a) Is there a statistically significant difference in academic performance in 2000...
look at each test on pic above and answer the question below:
Interpret the result in APA stat
(1a) Is there a statistically significant difference in
academic performance in 2000 according to the socioeconomic
standing of the school as measured by the percentage of students
that receive free meals? Explain.
one-way anova
(1b) Is there a statistically significant difference in
academic performance in 1999 between year-round and non-year-round
schools? How do you know? Explain?
Independent t test
(1c) Determine if...
Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not? Use at least two examples from your correlation matrix as part of your explanation. Correlations Number of bedrooms Number of bathrooms (fractions) Number of floors Building Condition Year built Building Grade .376 Number of bedrooms Pearson Correlation 1 551" Lot size (square feet) .132" .000 796 Square feet of finished living space .637" .000 796 .711" 278 .049 233 .000 .000 .000 .000 796...
Please help in solving this.
Explain whether there are any correlations that suggest the problem of multicollinearity. Why or why not? Use at least two examples from your correlation matrix as part of your explanation. Number of bedrooms Correlations Number of Square feet of bathrooms finished living (fractions) space 551" .637" Number of floors .278" Lot size (square feet) .132" .000 796 Building Condition .049 .171 Building Grade .376" Year built 233" Number of bedrooms 1 .000 .000 .000 .000...
Explain the meanings of this Pearsons correlation
Correlations Square Foota ge ListPrice N Square Footage Pearson Correlation 1 .841* Sig. (2-tailed) .000 245 245 ListPrice Pearson Correlation Sig. (2-tailed) .000 245 245 **. Correlation is significant at the 0.01 level (2-tailed). .841**
"Are there any of the independent variables (not including the
constant) that are statistically not significant at the 0.10 level
or lower? If yes, drop them from the list of independent
variables.... . Continue the process until all of the independent
variables are significant at least at the 0.10 level or lower.
"
Coefficients a Standardized Coefficients Unstandardized Coefficients Collinearity Statistics Tolerance VIF Model B Std. Error Beta t Sig. 1 4790324.307 348934.230 13.728 .000 (Constant) Number of bedrooms -6950.604...
+ Difference Between Binomial and X ignments/833005 LIBtiariwdVasna 20 30 50 60 01 05 40 10 70 80 30 640 490 360 250 160 380 902 090 040 2 810 010 002 0+ C 30 420 480 500 320 020 098 180 A80 180 020 250 002 040 090 360 640 0+ 010 160 00 se0 2 857 343 216 064 027 008 01 970 512 125 0 243 375 096 135 432 384 441 280 007 189 375 007...
CAN BE DONE IN ANY LANGUAGE
UID Values will be from 000 to
100:
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006
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010
011
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050
051
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055
056
057
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059
060
061
062
063
064
065
066...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...
WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234 3.09428 9673 1.73445 15.2103 6.02870 depression total fsmast momdrink DIF 214 214 214 Pearson Correlation depression total fsmast momdrink -104 .011 1.000 038 momdrink DIF 471 .111 038 1.000 .000 .053 291 DIF Sig. (1-tailed) 064 Correlations depression total fsmast 1.000 227 227 1.000 104 .011 -471 .111 .000 .000 .064 436 .000 .053 214 214 214 214 214 214 214 depression total fsmast...
2 homework a Derick Iverson is a divisional manager for Holston Company. His annual pay raises are largely determined by his division's return on Investment (ROI), which has been above 20% each of the last three years. Derrick is considering a capital budgeting project that would require a $3,000,000 investment in equipment with a useful life of five years and no salvage value. Holston Company's discount rate is 15%. The project would provide net operating income each year for five...
look at each test on pic above and answer the question below:
Interpret the result in APA stat
(1a) Is there a statistically significant difference in
academic performance in 2000 according to the socioeconomic
standing of the school as measured by the percentage of students
that receive free meals? Explain.
one-way anova
(1b) Is there a statistically significant difference in
academic performance in 1999 between year-round and non-year-round
schools? How do you know? Explain?
Independent t test
(1c) Determine if...
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