Can you check my work? let me know if there is anything that is wrong and how to fix it?

You will complete a question aboutCorrelation Examplesand complete aSimple Linear Regression. For theSimple Linear Regression, make sure to complete the following steps:

• Construct a scatter plot.
• Find the equation of the regression line.
• Predict the value of y for each of the x-values. Use this resource: Regression
• Give an example of two variables that have a positive linear correlation. Give an example of two variables that have a negative linear correlation. Give an example of two variables that have no correlation.
• Height and Weight: The height (in inches) and weights (in pounds) of eleven football players are shown in this table.

Simple linear regression results:

Dependent Variable: var2 Independent Variable: var1 var2 = -257.30831 + 7.254393 var1 Sample size: 11 R (correlation coefficient) = 0.93635115 R-sq = 0.87675348 Estimate of error standard deviation: 13.678839

The equation of a regression line is var2(y weight)-257.30831+7.254393 var1(x height)

Parameter estimates:

Parameter	Estimate	Std. Err.	Alternative	DF	T-Stat	P-value
Intercept	-257.30831	63.762222	? 0	9	-4.0354351	0.0029
Slope	7.254393	0.90662649	? 0	9	8.0015233

Analysis of variance table for regression model:

Source	DF	SS	MS	F-stat	P-value
Model	1	11979.641	11979.641	64.024375
Error	9	1683.9956	187.11062
Total	10	13663.636

Predicted values:

This chart below shows each prediction of each x value listed

X value	Pred. Y	s.e.(Pred. y)	95% C.I. for mean	95% P.I. for new
65	214.22724	6.2514808	(200.0854, 228.36907)	(180.20514, 248.24933)
69	243.24481	4.2612322	(233.60523, 252.88439)	(210.83443, 275.65519)
71	257.75359	4.1905014	(248.27402, 267.23317)	(225.39044, 290.11675)