Answer questions 19-22

Q19- What's your decision in exploring the cross-effect of two independent variables type of company(IV)" and "Sales of the companies (IV)" on profits of the companies(DV) O A. ALL answers (a, b and c) are correct OB. FAIL TO REJECT Ho . ACCEPT OD. REJECT HO Q20- In exploring the relation between the two continuous variables Sales(IV)" and "Protit/DV)", which of the following describes the Pearson Correlation R? O A. =0.72 strong relation OB. r=1.0 strong relation OC. r=0.72 weak relation OD. r=1.0 very weak relation Q21-In exploring the relation between the two continuous variables Sales(IV)' and Profit (DV)", which of the following is the equation of the regression line? A. Profit= 6.8 + 1 sales O B. Profit= 18. 0.205 sales OC. Profit 126.8 +0.120 sales OD. Profit= 1 262 +2.33 *sales 022-In exploring the relation between the two continuous variables Sales(IV)' and 'Profit(DV), which of the following is the best interpretation for R-squared ? OA. 0.228 which means 22.8% of variation in profit is explained by sales. OB. 0.523 which means approximately half of the companies' make high value of profit O C. 0.228 which means approximately one fifth of the companies make high value of profit D. 0.523 which means 52.3% of variation in profit is explained by variation in sales Use the data set STUDENT SUCCESS DATA" which provide information about number of hours student spent studying during the semester and if the student passed the course successfully or not (Yes/No), to answer the following question: 023- What is standard deviation of "hours studied" approximately OA. 22.06 OB. 54 Click to select your answer B D E F G H 855.1 31 859.8 153 1 Computer small 2 Pharmaceuti big 3 Computer small 4 Pharmaceutic big 5 Computer small 6 Pharmaceutic big 7 Computer small 8 Computer small 9 Computer small 10 Computer small 11 Computer small 12 Pharmaceutii medium 13 Computer big 14 Computer small 15 Pharmaceutil big 16 Pharmaceutic small 17 Pharmaceutic medium 18 Computer big 19 Pharmaceutic big 20 Computer medium 21 Pharmaceutic small 22 Computer small 23 Pharmaceutic medium 24 Computer small 25 Computer small 26 Computer small 27 Computer small 28 Computer big 29 Pharmaceutic medium 30 Computer medium 31 Pharmaceutic medium 32 5453.5 2153.7 6747 5284 9422 2876.1 709.3 2952.1 784.7 1324.3 4175.6 11899 873.6 9844 969.2 6698.4 5956 5903.7 2959.3 1198.3 990.5 3243 1382.3 1014 1769.2 1643.9 1096.9 2916.3 3078.4 4272 1102.2 454 747 333.3 41.4 -680.4 89 -119.7 939.5 829 79.5 1082 227.4 1495.4 412 681.1 252.8 86.5 20.9 471.3 7523 40929 8200 50816 12068 54100 9500 5000 18000 4708 13740 28200 95000 8200 83100 3418 34400 56000 42100 31404 8527 8578 21300 2900 9100 10200 9548 82300 20100 28334 33000 4120.7 21007.11 18658.54 21690.02 37620.15 13807.76 35084.21 8280 -37800 18903.99 -8711.79 33315.6 8726.32 9695.12 13020.46 66530.13 43470.93 7357.14 16178.15 8049.93 10144.25 2436.47 22126.76 103.45 5241.76 5960.78 12390.03 -7767.92 8756.22 -14974.9 12506.06 615.2 4851.6 2233.7 5681.5 2743.9 8497 2090.4 468.1 1860.7 955.8 1040.2 5848 10075 808 7919 784 6756.7 4500 8324.8 5611.1 1791.7 624.3 3613.5 1076.8 977 1269.1 1618.8 10751 3246.9 2725.7 3051.6 3.63 15.77 7.1 16.34 8.59 7.93 11.59 5.84 -23.05 11.34 -9.04 22.5 6.97 9.1 10.99 23.46 22.32 6.92 11.54 8.54 7.22 2.11 14.53 0.02 4.7 3.44 7.2 -58.28 6.04 -13.78 9.66 0.3 47.7 60.8 118.3 -639.3 176 -424.3 412.7 Q19- What's your decision in exploring the cross-effect of two independent variables type of company(IV)" and "Sales of the companies (IV)" on profits of the companies(DV) O A. ALL answers (a, b and c) are correct OB. FAIL TO REJECT Ho . ACCEPT OD. REJECT HO Q20- In exploring the relation between the two continuous variables Sales(IV)" and "Protit/DV)", which of the following describes the Pearson Correlation R? O A. =0.72 strong relation OB. r=1.0 strong relation OC. r=0.72 weak relation OD. r=1.0 very weak relation Q21-In exploring the relation between the two continuous variables Sales(IV)' and Profit (DV)", which of the following is the equation of the regression line? A. Profit= 6.8 + 1 sales O B. Profit= 18. 0.205 sales OC. Profit 126.8 +0.120 sales OD. Profit= 1 262 +2.33 *sales 022-In exploring the relation between the two continuous variables Sales(IV)' and 'Profit(DV), which of the following is the best interpretation for R-squared ? OA. 0.228 which means 22.8% of variation in profit is explained by sales. OB. 0.523 which means approximately half of the companies' make high value of profit O C. 0.228 which means approximately one fifth of the companies make high value of profit D. 0.523 which means 52.3% of variation in profit is explained by variation in sales Use the data set STUDENT SUCCESS DATA" which provide information about number of hours student spent studying during the semester and if the student passed the course successfully or not (Yes/No), to answer the following question: 023- What is standard deviation of "hours studied" approximately OA. 22.06 OB. 54 Click to select your answer B D E F G H 855.1 31 859.8 153 1 Computer small 2 Pharmaceuti big 3 Computer small 4 Pharmaceutic big 5 Computer small 6 Pharmaceutic big 7 Computer small 8 Computer small 9 Computer small 10 Computer small 11 Computer small 12 Pharmaceutii medium 13 Computer big 14 Computer small 15 Pharmaceutil big 16 Pharmaceutic small 17 Pharmaceutic medium 18 Computer big 19 Pharmaceutic big 20 Computer medium 21 Pharmaceutic small 22 Computer small 23 Pharmaceutic medium 24 Computer small 25 Computer small 26 Computer small 27 Computer small 28 Computer big 29 Pharmaceutic medium 30 Computer medium 31 Pharmaceutic medium 32 5453.5 2153.7 6747 5284 9422 2876.1 709.3 2952.1 784.7 1324.3 4175.6 11899 873.6 9844 969.2 6698.4 5956 5903.7 2959.3 1198.3 990.5 3243 1382.3 1014 1769.2 1643.9 1096.9 2916.3 3078.4 4272 1102.2 454 747 333.3 41.4 -680.4 89 -119.7 939.5 829 79.5 1082 227.4 1495.4 412 681.1 252.8 86.5 20.9 471.3 7523 40929 8200 50816 12068 54100 9500 5000 18000 4708 13740 28200 95000 8200 83100 3418 34400 56000 42100 31404 8527 8578 21300 2900 9100 10200 9548 82300 20100 28334 33000 4120.7 21007.11 18658.54 21690.02 37620.15 13807.76 35084.21 8280 -37800 18903.99 -8711.79 33315.6 8726.32 9695.12 13020.46 66530.13 43470.93 7357.14 16178.15 8049.93 10144.25 2436.47 22126.76 103.45 5241.76 5960.78 12390.03 -7767.92 8756.22 -14974.9 12506.06 615.2 4851.6 2233.7 5681.5 2743.9 8497 2090.4 468.1 1860.7 955.8 1040.2 5848 10075 808 7919 784 6756.7 4500 8324.8 5611.1 1791.7 624.3 3613.5 1076.8 977 1269.1 1618.8 10751 3246.9 2725.7 3051.6 3.63 15.77 7.1 16.34 8.59 7.93 11.59 5.84 -23.05 11.34 -9.04 22.5 6.97 9.1 10.99 23.46 22.32 6.92 11.54 8.54 7.22 2.11 14.53 0.02 4.7 3.44 7.2 -58.28 6.04 -13.78 9.66 0.3 47.7 60.8 118.3 -639.3 176 -424.3 412.7