The chi-square goodness-of-fit test. Using the data in question 1 table above, Is there enough evidence to reject the claim that the revenue per car for each company is the same? Use confidence level a =0.05 A) State the hypothesis and identify the claim. B) What are the degrees of freedom value? Find the critical value. Formula for the Chi-Square Goodness-of-Fit Test -yo- with degrees of freedom equal to the number of cutegories minus I, and where observed frequency E expected frequency C) Compute the test value. Calculate the expected values. D) Make the decision. E) Summarize the results. F) Goodness-of-fit-test, find the P.Values for this test. Write the interval. Make the decision Correlation and Regression Q1: COMPLETE THE CHART below. Car Rental Companies Volume and Annual Revenue Column A Column B Column C Column D Column E Column F Company Y XY 675 455 X = Cars (in 10,000) 45.0 35.0 30.0 24.0 18.0 15.0 9.0 50 4.0 3.0 Y = Revenue (in billions) $15.0 13.0 12.0 9.0 7.0 7.0 5.0 4.0 20 10 A B С D E F G H 3 K SUM Formula ENTER TOTALS GREG 3 NONNUN olololololololololo 164 WY SI 49 49 Las 900 576 324 225 81 25 16 9 Yr = 5406 -=&e 105 45 30 16 Sy = 75 Lry = ao13 Σνα 763 188 Q2: Construct a scatter plot for the table data shown above Step 1 Draw a graph, label the x and y axes. Identify the independent, and dependent variables m E 1 Company X=Cars Y=Revenue XY X^2 Y^2 2 A 45 15 675 2025 225 3 B 35 13 455 1225 169 4 C 30 12 360 900 144 5 D 24 9 216 576 81 6 E 18 7 126 324 49 7 F 15 7 105 225 49 8 G 9 5 45 81 25 9 H 5 4 20 25 16 10 ) 4 2 8 16 4 11 K 3 1 3 9 1 12 Sum Formula Ex- Σγα Exy- {x^2= {y^2= 13 Enter totals 188 75 2013 5406 763
