For the terms below, select the best descriptions from the list. 4 v 1 v 3 V 2 > Coefficient of Determination (²) Sum of the Square of the Totals (SST) Standard Error of the Estimate (se) Sum of the Square of the Residuals (SSR) 1. 2. 3. 4. 5. sum of the squared differences between the observed variable and its mean. sum of the squared differences between the predicted variable (i.e., the variable's regression line) and its observed values. average distance from which the observed values fall from their predicted variable (i.e., the variable's regression line) line. The "comparative accuracy" or "skill" of a non-trivial method of estimating a value when compared against an unskilled method. The number of members in a sample that can vary without changing the outcome.

We were comparing two varibles (male and female math score)by linear regression which gives us a residual plot   question   1.What is/are the purpose(s) of a residual plot in regression analysis? For the residual plot drawn in part (d), explain what you learn in the context of this problem   2.What is the purpose of drawing a histogram of the residuals in regression analysis? For the histogram of residuals drawn in part (f), explain what you learn in the context of this problem.(histogram for residuals)   my answer for 1-The residual plot is to ensure or check a linear regression model is appropriate. In our case, data points are evenly placed on two sides of horizontal axis, so it is appropriate.   for 2 does that tells us the data is normally distributed or not? what does the graph tells us. does the U shape means normally distributed? ( I know it is if its symmetric hill shape).

I do not understand how to calculate type II errors

What is the R2 value for the relationship between  Height and Weight?