Use the Health JASP dataset to answer the following questions. Assume a .05 level of significance:

1. Identify the best predictor of weight among the following independent variables: age, height (in meters), Exercise minutes per week, and Amazon purchases per month. Hint: You need to run 4 separate simple regressions. Do not enter all the variables at once (that's multiple regressionnot covered in this class).
2. Run another simple regression using weight again as the dependent variable and systolic blood pressure as the independent variable. Interpret the results. Guidelines for interpreting the regression can be found in What to Include When Writing Up Linear Regression Results (PDF) Download What to Include When Writing Up Linear Regression Results (PDF).
3. Report the equation for this regression line.
4. Obtain a scatterplot and plot a regression line on the scatterplot. In JASP, you create a plot with the correlation function (just like you did in assignment 6.2)
5. Predict the weight for someone with the systolic blood pressure of 140.