Business Stats

"Housing Starts "Bricks Shipped "xy "x x "y y "x mean "y mean "1 "1 .1 "5 .1 "5 .61 "1 .21 "26 .01 "1 .6 "6 .7 "2 "1 .312 "6 .25 "10 .54 "2 .89 "38 .44 "3 "1 .313 "7 "12 .6 "3 .24 "49 "4 "1 .312 "6 .25 "11 .56 "2 .89 "46 .24 "5 "1 .313 "7 .25 "13 .32 "3 .24 "54 .76 "6 "1 .313 "7 .25 "11 .68 "2 .56 "53 .29 "7 "1 .5 "7 .25 "10 .65 "2 .25 "50 .41 "7 "11 .2 "46 .9 "75 .96 "18

.28 "318 .15 "1 . Regression Line "b1 "75 .96 "- "75 .04 "b0 "2 .108 "18 .28 "- "17 .92 "Equation is : y 2 .61 2 .5555x "slope is 2 .55 means that small change in Housing Starts causes big change in Bricks Shipped "b1 "0 .0016 "0 .0003 "If houses increase by 500 ,000 "increase in bricks shipped "3 .885 "Billion "b1 "2 .558 "2 . Increase in Housing starts "If houses increase by 500 ,000 "increase in bricks shipped "1275002 .61 "3 . Coefficient of Correlation "r "531 .72 "- "525 .28 "127 .96 "- "125 .44 "2227 .05 "- "2199 .61 "r "6 .005 "2 .002 "27 .01 "r "0 .6697 "Coefficient of Determination "0 .6697 "There is a strong positive correlation between both variables "4 . Predict in Bricks Shipped "If houses increase by 500 ,000 "increase in bricks shipped "6 .18 "Billions "Market Rate of Return "Rate of Return of ABC Inc "xy "x x "y y "x mean "y mean "1 "2 "1 "2 "4 "1 "2 .5 "2 .75 "2 "-10 "-5 "50 "100 "25 "3 "18 "12 "216 "324 "144 "4 "9 "5 "45 "81 "25 "5 "12 "6 "72 "144 "36 "6 "-1 "7 "-7 "1 "49 "7 "-12 "-6 "72 "144 "36 "8 "2 "2 "4 "4 "4 "20 "22 "454 "802 "320 "1 . Regression Model "b1 "454 "- "55 "b0 "1 .255 "802 "- "50 "Equation is : y 1 .424 0 .5305x "b1 "399 "752 "b1 "0 .2979 "2 . Coefficient of Determination "SSE "320 "- "31 .62 "- "240 .2 "47 .15 "SST "320 "- "60 .5 "259 .5 "SSR "211 .8 "Coefficient of Determination "0 .799 "Courier "Pickup Time "Delivery Time "Mileage "Cost "1 "13 "14 "7 "16 .5 "SUMMARY OUTPUT "3 "20 "51 "20 "26 .5 "2 "22 "33 "12 "19 "Regression Statistics "3 "11 "47 "19 "25 "Multiple R "0 .3025 "3 "17 "18 "8 "15 .5 "R Square "0 .1168 "1 "15 "88 "17 "23 "Adjusted R Square "0 .2715 "3 "17 "20 "11 "18 .4 "Standard Error "4 .157 "3 "17 "39 "11 "18 .4 "Observations "182 "3 "19 "23 "10 "17 .5 "1 "25 "20 "8 "17 .5 "ANOVA "3 "19 "32 "10 "17 .5 "df "SS "MS "F "Significance F "3 "9 "35 "16 "22 "Regression "1 "68292 "68292 "4049 "2 .467e-125 "3 "13 "23 "9 "16 .6 "Residual "181 "3052 "16 .66 "2 "17...