Section 3.4: Practice with StatKey 7. Open the StatKey menu item Bootstrap Confidence Interval for Slope, Correlation. Download the csv file then upload the StudentSurvey dataset. Because we are computing a regression equation, it matters which is the explanatory variable and which is the response variable. To predict Weight from Height, identify what you will choose: Explanatory variable (x): ________________ Response variable (y): ________________ When you choose the two variables, the columns are color coded. Be sure the colors that show are consistent with what you intend. The x and y color coding is in the upper left of the window where you choose the variables. Keep clicking on the columns until you make the column colors correct. 8. When you enter the two columns, see the original sample summary statistics and graph on the top right. Identify the following Type of relationship: Positive Negative Neither Sample size _____ Correlation ________ Slope __________ Intercept ________ 9. Recall from Chapter 2. Write the equation of the regression line: _____________________ a. Use the regression equation to predict the weight for a person whose height is 60 inches.

b. Interpret the slope coefficient, in context. Include units.

c. Does the intercept make sense in the context?_____ If so, interpret it. If not, explain why not.

StatKey Confidence Interval for a Slope, Correlation StudentSurvey.csv: Height(x) Weight(y) Show Data Table Edit Data Upload File Change Column(s) Generate 1 Sample Generate 10 Samples Generate 100 Samples Generate 1000 Samples Reset Plot Bootstrap Dotplot of Correlation Original Sample Left Tail Two-Tail Right Tail n = 352, r = 0.619, slope = +4.823, intercept = -170.269 samples = 0 50 mean = NaN sid. error - NaN Weight 40 30 Height Bootstrap Sample Show Data Table 20 Weigh 10 Height 0.50 0.55 0.60 0.65 0.70 0.75 Help Statkey v. 3.0.3 is written in JavaScript and should work well with any current browser including Chrome, Firefox, Safari, Opera, and Edge. Presentation Mode Statkey contains accessibility features, including screen reader support and keyboard navigation. OFF Comments, feedback, accessibility issues, and bug reports can be sent to lockSstategmail. com. Show All StudentSurvey.csv