The accompanying data table lists results from car crash tests. Included in results from car crash tests are loads (pounds) on the left femur and right femur, and those values are shown in the table below. What characteristic of the data suggests that the appropriate method of analysis is two-way analysis of variance? That is, what is "two-way" about the data entered in the table? Click on the icon to view the data table. Car Crash Test Data Choose the correct answer below. Small Midsize O A. The load values are categorized using two different factors of femur (left or right) and size of car (small, midsize, or large). Large 1194 397 215 O B. The data is measured in pounds, part of the imperial system, which is inherently two-way. 288 319 1635 O C. There are two possiblities for the femur, either left or right. 327 302 739 Left Femur 711 296 885 Left Femur O D. In this case, the appropriate method of analysis is not two-way analysis of variance. 601 811 941 244 279 885 335 412 473 1263 844 750 324 716 1203 Right 448 132 775 1052 236 Femur 551 Right Femur 1471 689 668 1042 902 556 455 546 290 Small Midsize Large ring Texthoo Get mo re helpA popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President 190 174 172 177 195 182 - Height (cm) of Main Opponent 176 189 180 172 180 175 a. Use the sample data with a 0.01 significance level to test the claim that for the population of heights for presidents and their main opponents, the differences have a mean greater than 0 cm. In this example, p. is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the president's height minus their main opponent's height. What are the null and alternative hypotheses for the hypothesis test? Ho: Ha cm Hy: Hd cm (Type integers or decimals. Do not round.)Points: 0 of 1 Save The accompanying table lists distances (mm) between pupils of randomly selected U.S. Army personnel collected as part of a large reputable study. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? Click the icon to view the data and two-way analysis of variance results. First test for an interaction between the two factors. Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: Distances between pupils are not affected by handedness. Hy: Distances between pupils are affected by handedness. O B. Ho: Distances between pupils are affected by an interaction between gender and handedness. Data and Two-Way ANOVA Results h Hy: Distances between pupils are not affected by an interaction between gender and handedness. O C. Ho: Distances between pupils are not affected by gender. Right-Handed Left-Handed Hy: Distances between pupils are affected by gender. Female 64 63 60 58 57 70 63 61 69 63 Male 65 64 66 69 71 68 68 65 67 66 O D. Ho: Distances between pupils are not affected by an interaction between gender and handedness. Source: DF: SS: MS: Test Stat, F: Critical F: P-Value: Hy: Distances between pupils are affected by an interaction between gender and handedness. Interaction: 31.25 31.25 3.50140 4.49401 0.07972 Row Variable: 84.05 84.05 9.41737 4.49401 0.00734 Column Variable: 26.45 26.45 2.96359 4.49401 0. 10443 Print Done