4. If telemarketing hours increase by one hour, we would expect the number of ne

Question

4. If telemarketing hours increase by one hour, we would expect the number of new subscriptions to _________ by ____________.

5. Predict the number of subscriptions for a month in which there were 900 hours of telemarketing.

6. Explain why it would not be a good idea to predict the number of subscriptions for a month in which there were 1600 hours of telemarketing.

Hours New Subscriptions 1224 5357 1458 6177 1006 4795 1395 5692 1350 4312 921 3421 704 2624 1154 4087 1168 4934 803 2546 830 3591 905 4271 1435 5836 1349 5201 965 3775 985 3592 1117 4566 840 2974 1412 5673 940 3554 1090 4399 1498 6143 1240 4827 1055 5418

Explanation / Answer

b1=SXy/SSx=4.1083

b0=Ybar-b1*Xbar =-104.979

4) f telemarketing hours increase by one hour, we would expect the number of new subscriptions to increase by 4.1083

5)number of subscriptions =-104.979+900*4.1083=3592.53

6)No as this lies outside range of our given values

x y (X-Xbar)^2 (Y-Ybar)^2 (X-Xbar)(Y-Ybar) Yi' 1224 5357 11130.25 751327.79 -2831122.16 4923.639 1458 6177 115260.25 2845266.13 -5114703.75 5884.993 1006 4795 12656.25 92897.96 -1061957.66 4028.019 1395 5692 76452.25 1444303.21 -3719795.58 5626.167 1350 4312 53592.25 31758.21 559611.29 5441.291 921 3421 39006.25 1143206.46 3816227.29 3678.81 704 2624 171810.25 3482733.54 7065853.54 2787.298 1154 4087 1260.25 162576.96 1345187.00 4636.055 1168 4934 2450.25 196951.04 -1474368.37 4693.572 803 2546 99540.25 3779946.04 7168701.17 3194.024 830 3591 83232.25 808575.63 3291289.84 3304.95 905 4271 45582.25 48052.29 785907.54 3613.076 1435 5836 100172.25 1811155.21 -4111673.91 5790.501 1349 5201 53130.25 505224.79 -2232744.71 5437.183 965 3775 23562.25 511522.96 2521258.38 3859.577 985 3592 17822.25 806778.21 3148407.34 3941.744 1117 4566 2.25 5744.38 -255661.08 4484.046 840 2974 77562.25 2298887.71 5534476.29 3346.033 1412 5673 86142.25 1398996.13 -3640879.16 5696.009 940 3554 31862.25 876486.04 3323734.63 3756.868 1090 4399 812.25 8318.96 310127.34 4373.12 1498 6143 144020.25 2731720.29 -4945497.00 6049.327 1240 4827 14762.25 113428.63 -1094643.08 4989.373 1055 5418 4032.25 860797.38 -3187157.66 4229.328 Total 26844.00 107765.00 1265856.00 26716655.96 5200577.50 mean 1118.50 4490.21 SSx Ssy Sxy

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