Hi. I need to explain the following information for a paper this week and am not sure how. Here is the instructions: If you choose, you can use these statistics for the inferential analysis. Remember, provide explanation for the r, r², p-value, and confidence intervals for full credit.Can anyone help?

Regression Analysis
r	0.007	n	385
r	0.084	k	1
Std. Error	89.068	Dep. Var.	Weight Loss
ANOVA table
Source	SS	df	MS	F	p-value
Regression	21,691.3964	1	21,691.3964	2.73	.0990
Residual	3,038,393.0053	383	7,933.1410
Total	3,060,084.4017	384
Regression output	confidence interval
variables	coefficients	std. error	t (df=383)	p-value	95% lower	95% upper
Intercept	-20.1291	10.6226	-1.895	.0589	-41.0150	0.7567
Sandwiches	0.2930	0.1772	1.654	.0990	-0.0554	0.6413