Prediction Expression 854.90340835+-38.13792767 X1 +-51.55847535 X2 +27240145701 X3 X1 14 14 10 10 12 12 14 12 X2 X3 Y 1

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Prediction Expression 854 90340835 38 13792767 X1 51 55847535 X2 27240145701 X3 X1 14 14 10 10 12 12 14 12 X2 X3 Y 1 1 (167.79 KiB) Viewed 105 times

Prediction Expression 854.90340835+-38.13792767 X1 +-51.55847535 X2 +27240145701 X3 X1 14 14 10 10 12 12 14 12 X2 X3 Y 10 300 6 10 5 4 250 7 10 350 5 4 400 4 150 4 180 5 140 5 300 5 300 12 14 14 14 10 G 6 4 6 6 5 5 4 7 X₁ 14 14 10 10 12 12 14 5 200 7 250 4 200 3 110 12 12 14 14 14 10 X₂ Response Y 6 5 7 5 6 6 4 6 6 5 Predicted Y 284.0230 172.1406 5 4 J. 15.9770 77.8594 385.0163 -35.0163 324.6923 75.3077 196.8580 -46.8580 196.8580 -16.8580 250.9392 -110.9392 224.0982 224.0982 199.3808 75.9018 75.9018 0.6197 -3.8611 253.8611 223.6991 23.6991 194.3352 84.3352 X₂ 10 4 10 4 4 4 5 5 5 5 P 11. Cameras come with many options, and it appears that the more that you want, the higher the cost of the camera. Variables that may relate to the cost of a camera are given in the following table where y-cost X₁-megapixels, X:- weight (az), and X-optical zoom A Residual Y 7 4 3 Pic Stitch Y Lower 95% Mean Y 166.6318 97.5768 251.4937 190.3354 131.3509 131.3509 300 250 350 400 150 180 140 300 300 200 250 200 110 160.3663 170.2008 170.2998 134.1876 183.1186. 135.0553 82.6457 Upper 95% Mean Y 401.4142 246.7045 $18.5389 459.0493 262.3652 262.3652 341.5122 277.8965 277.8965 264.5740 324.6035 312-3429 306.0248 Lower 95% Indiy V 82.4638 -7.8739 173.6546 112.8026 20.4022 20.4022 63.7257 51.6461 51.6461 23.0413 75.3955 37.4112 -3.9575 Upper 95% Indiy Y 485.5823 352.1551 596.3779 536.5820 373.3138 373.3138 438.1528 396.5502 396.5502 375.7202 432.3266 409.9870 392.6280 Response Y Summary of Fit BSquate BSquare Adj Root Mean Square Error Mean of Response Observations (or Surn Wats) Analysis of Variance Source Model Error C. Total DF Term Intercept X1 X2 X3 Parameter Estimates 3 9 12 QUESTION 29 0.478258 0.304344 72.42902 240.7692 13 Sum of Mean Square Squares 43278.645 47213.663 90492.308 QUESTION 30 Estimate Std Errort Ratio Prob>It Lower 95% 854.90341 369.2327 2.32 19.641117 0.0458 -38.13793 18,72791 0.0722 -80.5034 -2.04 33.43421 -1.54 -51.55848 0.1574 -127.1919 10.48207 0.0288* 3.5280541 27.240146 2.60 QUESTION 31 F. Ratio O D.y = Bo+B1X1+B2X2+B3X3+...+ B13X13+ E 144262 2.7500 5246.0 Prob F 0.1046 What is the prediction equation? you will need to round to 4 decimals and do not use the space bar y=854.90341-38.13793 Upper 95% 1690.1657 4.2275472 24.074968 50.952237 Confirm