Simple linear regression results Dependent Variable var9 Independent Variable var8 var9 5 9351585 0 0057636888 var8 Sample size 20 R (correlation coefficient) 0 010243565 R sq 0 00010493061 Estimate of error standard deviation 2 9229348 Parameter estimates Parameter Estimate Std Err Alternative DF T Stat P value Intercept 5 9351585 1 039987 0 18 5 7069542 0 0001 Slope 0 0057636888 0 1326143 0 18 0 043462044 0 9658 Analysis of variance table for regression model Source DF SS MS F stat P value Model 1 0 016138329 0 016138329 0 0018889493 0 9658 Error 18 153 78386 8 5435479 Total 19 153 8 Make sure that you report whether or not your findings are significant Discuss what your findings mean If your correlation was significant does it mean that one variable is causing the other to act a certain way Why why not

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Question: Simple linear regression results: Dependent Variable: var9 Independent Variable: var8 var9 = 5.9351585 - 0.0057636888 var8 Sample size: 20 R (correlation coefficient) = -0.010243565 R-sq

Simple linear regression results:

Dependent Variable: var9 Independent Variable: var8 var9 = 5.9351585 - 0.0057636888 var8 Sample size: 20 R (correlation coefficient) = -0.010243565 R-sq = 0.00010493061 Estimate of error standard deviation: 2.9229348

Parameter estimates:

Parameter	Estimate	Std. Err.	Alternative	DF	T-Stat	P-value
Intercept	5.9351585	1.039987	0	18	5.7069542	<0.0001
Slope	-0.0057636888	0.1326143	0	18	-0.043462044	0.9658

Analysis of variance table for regression model:

Source	DF	SS	MS	F-stat	P-value
Model	1	0.016138329	0.016138329	0.0018889493	0.9658
Error	18	153.78386	8.5435479
Total	19	153.8

Make sure that you report whether or not your findings are significant. Discuss what your findings mean. If your correlation was significant does it mean that one variable is causing the other to act a certain way? Why/why not?

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