regression analysis
DESCRIPTION
Least squares methodlinear regressionStatistical analysisTRANSCRIPT
Month Quantity Price SUMMARY OUTPUTJanuary 15 $12,500 February 17 $12,200 Regression StatisticsMarch 16 $11,900 Multiple R 0.871973629944544April 18 $12,000 R Square 0.760338011318664May 20 $11,800 Adjusted R Square 0.740366178928553June 18 $12,500 Standard Error 2.46778895360351July 22 $11,700 Observations 14August 15 $12,100 September 22 $11,400 ANOVAOctober 25 $11,400 dfNovember 24 $11,200 Regression 1December 30 $11,000 Residual 12January 25 $10,800 Total 13February 28 $10,000
CoefficientsIntercept 91.3220855433924Price -0.006052364292969
Ehtesham
SS MS F Significance F231.848783594241 231.8488 38.070518341 4.79797585568E-0573.0797878343302 6.089982304.928571428572
Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%11.4046889344069 8.007416 3.724397E-06 66.4734029747427 116.1708 66.4734 116.1708
0.0009809133957032 -6.170131 4.797976E-05 -0.00818959098432 -0.003915 -0.00819 -0.003915