Activity 1: A nurse practitioner wants to examine a relationship between falls and knee extension strength in the elderly. Further, he would like to predict falls with knee extension strength in the elderly. Regression analysis can determine whether one variable can predict the outcome of another variable, but several steps are required. Follow the steps below. Data are shown in Foso v. 1. Examine the Relationship: Before you can determine whether the independent variable accurately predicts the dependent variable, you first need to determine whether they are related. If they are not related, then there is no need to do any further testing. A. Propose the most appropriate technique to test whether there is a relationship between falls and knee extension strength. {Hintt Don't forget to check parametric assumptions before you choose your test.] EL Run the test and copy and paste the output table here. (3. Report the findings in APA style and interpret them. What kind of relationship is there between the two variables? 2. Running a Regression Analysis: Now that we've determined what kind of relationship exists between the two variables. we can test whether the independent variable can accurately predict the dependent variable. A. Run a simple linear regression in SPSS. Copy and paste your output tables here. EL Report the findings in APA style {in table format]. Explain what the findings mean. What information can you gather from these results? 3. Creating a Regression line: Now that you have run your data, let's visual what this looks like with a regression line {also called a trend line or line of best fit}. A. Use the data from your SPSS output to create a regression equation for these y=a+ba=x variables. Use the form: . See your textbook to help you find the correct values for a and b from the SPSS output tables. EL Run a scatterplot. Make sure to put the independent variable on the x-axis and the dependent variable on the yaxis. Copy and paste the chart here