We have a random sample of 35 breams sold at a fish market and are interested in examining the relationship between their weight (grams) and their width (cm). We fit a linear regression model and obtain the following output:

Call: 1m(formula = Weight ~ Width, data = bream_data) Residuals: Min 10 Median 3Q Max -182.63 -57 .38 1.83 58.75 166.46 Coefficients : Estimate Std. Error t value Pr(>|t|) (Intercept) -838. 39 104.78 -8. 001 3.13e-09 *# # width 268. 30 19.14 14.017 1. 88e-15 #* * Signif. codes: 0 '##* ' 0.001 '#*' 0.01 '#' 0.05 '. ' 0.1 Residual standard error: 80.53 on 33 degrees of freedom Multiple R-squared: 0.8562, Adjusted R-squared: 0. 8518 F-statistic: 196.5 on 1 and 33 DF, p-value: 1.883e-15