i have one problem i am stuck on, please anyone?

here is my data

Simple linear regression results:

Dependent Variable: weight

Independent Variable: length

weight = -491.00992 + 28.526619 length

Sample size: 158

R (correlation coefficient) = 0.9245

R-sq = 0.8546454

Estimate of error standard deviation: 137.34116

Parameter Estimate Std. Err. DF T -Stat P-Value

Intercept -4 91.00992 31.343002 156 -15.665696 <0.0001

Slope 28.526619 0.94191015 156 30.285923 <0.0001

Analysis of variance table for regression model:

Source DF SS MS F-stat P-value

Model 1 1.730147E7 1.730147E7 917.2371 <0.0001

Error 156 2942564.5 18862.594

Total 157 2.0244036E7

Predicted values:

X value Pred. Y s.e.(Pred. y) 95% C.I . 95% P.I.

36.5 550.2116 12.017157 (526.4743, 573.949) (277.88684, 822.53644)

i need to:

write a comment about the strength of the relationship between the 2 variables based on the correlation coefficient.

write the linear regression equation for the data

what does the linear regression predict the weight of a fish should be when the length is 36.5 cm?

thanks !