Given the following information: restricted regression: R^2=0.24, n=930, k=5 unrestricted regression: R^2=0.10, n=930, k=20 what is Ftest statistic?

mean of x = 2.882, standard deviation = 1.634  Mean of y = 2.588, standard deviation = 0.246  The correlation coefficient is 0.159 slope coefficient for regression line = .0239 Find the intercept for the regression line.

Please show all working manually

Do the following plots show 1. Constant variability  2. Nearly normal residuals 3.  Independent observations for SLR (conditions for linear regression)

What are the different measures used for the OLS estimate of the multiple regression line?

Listed below are the overhead widths​ (cm) of seals measured from photographs and weights​ (kg) of the seals. Find the regression​ equation, letting the overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is1.8​cm, using the regression equation. Can the prediction be​ correct? If​ not, what is​ wrong? Use a significance level of 0.05. Overhead_Width_(cm)    Weight_(kg)7.2    1287.4    1679.8    2619.5    2218.7    2118.3    201 The regression equation is y=enter your response here+enter your response herex. ​(Round the​ y-intercept to the nearest integer as needed. Round the slope to one decimal place as​ needed.) Part 2 The best predicted weight for an overhead width of 1.8 ​cm, based on the regression​ equation, is enter your response here kg. ​(Round to one decimal place as​ needed.) Part 3 Can the prediction be​ correct? If​ not, what is​ wrong?     A. The prediction cannot be correct…