- For a particular regression analysis, SST=161 and SSR=146
- Obtain the coefficient of determination. (Round to two decimal places)
- Determine SSE.
- Use the table and the given regression equation to answer parts A-C.
- Compute the tree sums of squares, SST, SSR, and SSE, using the defining formulas.
- Verify the regression identity, SST=SSR+SSE. Is this statement correct? (Yes, or No)
- Determine the value of , the coefficient of determination. (Round to four decimal places as needed)
- Fill the blanks
- The symbol used for the linear correlation coefficient is __________.
- A value of r close to indicates that there is a _________ linear relationship between the variables.
- A value of r close to ___________ indicates that there is either no linear relationship between the variables or a weak one.
- For the data shown to the below, determine the linear correlation coefficient using the formula r = .
Find the sample mean of each variable.
Find the sum required to calculate r using the definition.
Find the sample standard deviation of each variable.
Using the definition, r = _________
- The following are data on age (in weeks) and crown-rump length (in millimeters) for fetuses. Plot a scatterplot of the data and regression line to compare your calculation in part A and part B. (Use Excel and print out for figure).
- Obtain the linear correlation coefficient. r=____________
- There is __________________________________________ between the two variables.
- The given graph is ____________ with the interpretation found in part B, because the y-values appear to _____________ as the x-values increase, and the data points appear ______________________________________________________________________.
- ____________________ (Round to three decimal places as needed)Are you looking for a solution to this question? our writers can offer a custom paper based on these or other instructions. Click the button below to place an order.