The chart is for the questions below.

e and asks the weight of 14 consecutive customers. They are as follows. .. Shoe size weight EX = 137.5 Ex' = 1, 371.25 1 9 81 176 30/07 4 2 7.5 5625 141 19 881 zy = 2, 530 Eye- 471, 259 3 10 100 185 241 1275 12 1414 202 40, 804 (EX)2- 18, 906.25 5 9.5 9025 174 30/276 6 10 100 150 27/500 ( Ey ) ? = 6,400, 900 7 10 100 193 249 8 10.5 1075 237 541 149 Exy = 25, 343 9 13 149 248 61 504 10 8 64 159 24,281 1,584 11 8.5 72.15 136 18/494 1, 057.5 12 9.5 90.25 174 80276 9 1,850 (14)(25, 343)-(1375)(2,530) 13 172 29 584 14 11 2424 121 183 4 038 1 1453 ((14) (1,379 25) - 13,(36 13) . .61 NExy (EACH 'he Pearson Correlation for the data is 1510 1930 207 2.483.5 255,082- 347,8175 8,906. 76 7,207 18. 224 20094435410 1,272 19.3095- 130023 1/403 25) ( 194 1548 1156 2,013 1.153 Walking through the process of the significance testing. (See PAGE 192) 11. What is the critical value/alpha level established by the researcher? 12. What is the appropriate test statistic to use? 13. Compute the Test Statistic (using the T-test formula on Page 193 in your text) What is the value obtained? 14. What is the number of degrees of freedom for this problem? a. 14 b. 12 c. 10 d. 8 15. What is the value needed for rejection of the null hypothesis using the appropriate table of critical values for the particular statistic. (Use the t-test distribution table on page 474 of your book, use the degrees of freedom, significance level and one or two tailed test based on your null hypothesis). 16. Compare the obtained value to the critical value. What decision is made concerning the null hypothesis? 17. What is the coefficient of determination? a . .66 b. .81 C. .809 . .99 18. The percentage of variance in show size that can be accounted for by weight is? a. 66 b. 81 90 d. 99