Explain the meanings of this Pearsons correlation
Homework Answers
Pearson correlation between squareFootage and Listprice is 0.841
which indicate that the strength of association between the variables is very high (r = 0.841), and that the correlation coefficient is very highly significantly different from zero (P < 0.001)
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Explain the meanings of this Pearsons correlation
Correlations Square Foota ge ListPrice N Square Footage Pearson...
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...
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...
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**...
Correlations JobSat Conc CWB JobSat 1 414 - 311 .028 .003 50 50 50 Conc 414...
Correlations JobSat Conc CWB JobSat 1 414 - 311 .028 .003 50 50 50 Conc 414 1 -.806 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) 003 .000 50 50 50 CWB -311 -.806 1 .028 .000 N 50 50 50 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). 1. Based upon this correlation matrix, report the 3 correlation coefficients in APA format. a....
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...
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)...
Correlations ACTcommosites ACTComposite2 732 ACTMalhSco Pearson Correlation Sig (2tailed) 49 49 49 732 Sig (2-failed) 49 49 49 ACComposite24 Pearson Correlation 808 656 Sig. (2-tailed) 49 49 49 &#...
Correlations ACTcommosites ACTComposite2 732 ACTMalhSco Pearson Correlation Sig (2tailed) 49 49 49 732 Sig (2-failed) 49 49 49 ACComposite24 Pearson Correlation 808 656 Sig. (2-tailed) 49 49 49 " Correlation is significant at the 0.01 level (2-tailed) 5. What is observed between the comparison of the correlation between the Math and Composite scores and the correlation between the Math Score and the new ACTComposite24 variable? There occurs a positive correlation (0.732) between the Math and Composite Scores. There occurs a...
. CORRELATION. Is income related to education? RESPONDENTS INCOME Highest Year of School Completed RESPONDENTS INCOME...
. CORRELATION. Is income related to education? RESPONDENTS INCOME Highest Year of School Completed RESPONDENTS INCOME Pearson Correlation 1 .342** Sig. (2-tailed) .000 N 994 991 Highest Year of School Completed Pearson Correlation .342** 1 Sig. (2-tailed) .000 N 991 1496 **. Correlation is significant at the 0.01 level (2-tailed).
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...
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...
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**...
Correlations JobSat Conc CWB JobSat 1 414 - 311 .028 .003 50 50 50 Conc 414 1 -.806 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) 003 .000 50 50 50 CWB -311 -.806 1 .028 .000 N 50 50 50 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). 1. Based upon this correlation matrix, report the 3 correlation coefficients in APA format. a....
Correlations ACTcommosites ACTComposite2 732 ACTMalhSco Pearson Correlation Sig (2tailed) 49 49 49 732 Sig (2-failed) 49 49 49 ACComposite24 Pearson Correlation 808 656 Sig. (2-tailed) 49 49 49 " Correlation is significant at the 0.01 level (2-tailed) 5. What is observed between the comparison of the correlation between the Math and Composite scores and the correlation between the Math Score and the new ACTComposite24 variable? There occurs a positive correlation (0.732) between the Math and Composite Scores. There occurs a...
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