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xofhow much ice ㎝amthey see verss temperatu.onthat day. Herre aro ter fpresforthe iast t2days 412 Determine the equacion for the eession line y x yound to 4 decimal places when necessany Denermine the Use the equation to predict the sales when its 20 C Use the equation to predict the temperature when the sales are $150 se 4 decimais if there ane more sha4
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YValues 215 325 185 332 406 522 412 614 544 421 445 408 XValues 14.2 16.4 670 15.2 18.5 22.1 19.4 25.1 23.4 570 470 22.6 s 370 270 M: 18.675 402.4167 1701 14 20 23 26 x-Independent Regression Line (-30.09x- 159.47) Estimate Calculation Summary Sum of X 2241 Sum of Y 4829 Mean X-18.675 Mean Y-402.4167 Sum of squares (SSx)-176.9825 Sum of products (SP) 5325.025 Regression Equation-y-bX+ a b- SPISSx 5325.03/176.98 30.08786 a - My - bMx 402.42 (30.09*18.68)159.47415 30.08786X-159.47415 X- M Y- M (X- Mx)2 -4.475 -2.275 6.775 -3.475 -0.175 3.425 0.725 6.425 4.725 -0.575 3.925 -1.475 -187.416720.0256 5.1756 45.9006 12.0756 0.0306 11.7306 0.5256 41.2806 22.3256 О. 3306 15.4056 2.1756 77.4167 -217.4167 -70.4167 3.5833 119.5833 9.5833 211.5833 141.5833 18.5833 42.5833 5.5833 838.6896 176.1229 1472.9979 244.6979 0.6271 409.5729 6.9479 1359.4229 668.9813 -10.6854 167.1396 8.2354 SS: 176.9825 SP: 5325.025x Value Y Values 325 332 522 23.4 544 445 408 -4.475 -2.275 -6.775 -3.475 0.175 3.425 0.725 6.425 4.725 0.575 3.925 1.475 20.026 S.176 45.901 12.076 0.031 11.731 0.526 41.281 22.326 0.331 15.406 35125.007 5993.340 47270.007 4958.507 12.840 14300.174 91.840 44767.507 20045.840 345.340 1813.340 31.174 838.690 176.123 1472.998 244.698 0.627 77.41 70.4 3.583 119.583 9.583 211.583 141.583 18.583 42.583 5.583 409.57 6.948 1359.423 668.981 -10.685 167.140 8.235 Mx: 18.675 Mv: 402.41 Sum: 176.983 Sum Sum: 5325.025 174754.917 Result Detalls &Calculation Key X Values X: X Values Y Values M: Mean of X Values Mi Mean of Y Values X-Mx&V-M, Deviation scores x-My2 & (Y-My Deviation Squared x-MtYMy: Product of Deviation Scores 224.1 Mean-18.675 2X-MxSS 176.983 Y Values Σ-4829 Mean 402.417 EY-My-Sy- 174754.9117 Xand Y Combined 2X- MxXY-My) 5325.025 R Calculation rxMylYM) SSSS)) 5325.025/ (176.983M174754.917)) 0.9575 Meta Numerics (cross-check) r = 0.9575 The value of R is 0.9575. This is a strong positive correlation, which means that high X variable scores go with high Y variable scores (and vice versa)2-159.47 lhe 30.01 x2059 47 442 33 150 = 30 .09 91-159-47 8001. lual tor thi pot (14.2, 215 otoul vaku , ^ = (so o7x14.2).lst 267. 2o8 8o3) 52.2Ognes hon (c ORA! 2eM

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