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Correlations JobSat Conc CWB JobSat 1 414 - 311 .028 .003 50 50 50 Conc 414...
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...
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...
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**
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...
List out the 3 strongest statistically significant correlations between different variables (give the variables and the...
List out the 3 strongest statistically significant
correlations between different variables (give the variables and
the correlation value)
Correlations Price in thousands 4-year resale value Length Engine size .627** Fuel efficiency -.492" T! Price in thousands Pearson Correlation 1 .954 .157 Sig. (2-tailed) .000 .000 .051 .000 N 155 155 119 155 153 -.735** T! Engine size Pearson Correlation .627** 1 .531** .541" Sig. (2-tailed) .000 h .000 .000 .000 N 155 156 120 156 154 4-year resale value Pearson...
How do you find r with following SPSS output information? Descriptive Statistics Mean Std. Deviation N...
How do you find r with following SPSS output information? Descriptive Statistics Mean Std. Deviation N LA..AYP 53.7069 10.27093 87 Teacher.self.eff 3.2259 .39368 87 School.clim.avg 2.7436 .63783 87 ClassSize 30.5517 3.37142 87 Correlations LA..AYP Teacher.self.eff School.clim.avg ClassSize LA..AYP Pearson Correlation 1 .188 .080 -.439** Sig. (2-tailed) .081 .464 .000 N 87 87 87 87 Teacher.self.eff Pearson Correlation .188 1 .368** -.182 Sig. (2-tailed) .081 .000 .092 N 87 87 87 87 School.clim.avg Pearson Correlation .080 .368** 1 -.236* Sig. (2-tailed)...
Correlation: Choose any four metric variables and run a correlation on them. However, you must fi...
Correlation: Choose any four metric variables and run a correlation on them. However, you must find at least one pair of variables that are significantly correlated at alpha = .05. You only need to report the correlation matrix that contains at least one significant correlation and not all of those you had to sort through to find it. Identify those variables that are significantly correlated. Correlations DesiredConvenience DesiredFriendly DesiredListens DesiredAccuracy DesiredConvenience Pearson Correlation 1 .547** .557** .627** Sig. (2-tailed) .000...
Correlation and Linear Regression Suppose you are conducting market research for a breakfast cereal manufacturer to...
Correlation and Linear Regression Suppose you are conducting market research for a breakfast cereal manufacturer to understand whether individuals are likely to buy a new cereal. You conduct a survey among a sample of randomly selected individuals and using a series of questions. You produce a rating score for each participant for which higher scores reflect a higher likelihood of that participant buying the new cereal. You use a statistical computing program, such as SPSS, to compute the correlation between...
Based on the correlation table below, what is the correlation (r) between student’s writing scores and their reading sc...
Based on the
correlation table below, what is the correlation (r) between
student’s writing scores and their reading scores?
______________
What is the r-squared
for this relationship? _________
Correlations reading score writing score 597* math score science score female reading score Pearson Correlationa 662** 630* -.053 Sig. (2-tailed) NC .000 .000 .000 455 200 200 200 200 200 writing score Pearson Correlation .597 617** 570 256** 1 Sig. (2-tailed) .000 000 .000 .000 N 200 200 200 200 200 662**...
Write a sentence interpreting the p value correlation statistic for your two variables Correlations REC_FAMILY16 REC_HRS1...
Write a sentence interpreting the p value correlation statistic for your two variables Correlations REC_FAMILY16 REC_HRS1 REC_FAMILY16 Pearson Correlation 1 .006 Sig. (2-tailed) .834 N 1915 1091 REC_HRS1 Pearson Correlation .006 1 Sig. (2-tailed) .834 N 1091 1091
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...
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...
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**
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...
List out the 3 strongest statistically significant
correlations between different variables (give the variables and
the correlation value)
Correlations Price in thousands 4-year resale value Length Engine size .627** Fuel efficiency -.492" T! Price in thousands Pearson Correlation 1 .954 .157 Sig. (2-tailed) .000 .000 .051 .000 N 155 155 119 155 153 -.735** T! Engine size Pearson Correlation .627** 1 .531** .541" Sig. (2-tailed) .000 h .000 .000 .000 N 155 156 120 156 154 4-year resale value Pearson...
Correlation and Linear Regression Suppose you are conducting market research for a breakfast cereal manufacturer to understand whether individuals are likely to buy a new cereal. You conduct a survey among a sample of randomly selected individuals and using a series of questions. You produce a rating score for each participant for which higher scores reflect a higher likelihood of that participant buying the new cereal. You use a statistical computing program, such as SPSS, to compute the correlation between...
Based on the
correlation table below, what is the correlation (r) between
student’s writing scores and their reading scores?
______________
What is the r-squared
for this relationship? _________
Correlations reading score writing score 597* math score science score female reading score Pearson Correlationa 662** 630* -.053 Sig. (2-tailed) NC .000 .000 .000 455 200 200 200 200 200 writing score Pearson Correlation .597 617** 570 256** 1 Sig. (2-tailed) .000 000 .000 .000 N 200 200 200 200 200 662**...
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