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# Module 7 A - Grade Week 1 Data Organization and Analysis...

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Grade Earned to Date ssible for Course Week 1: Data Organization and Analysis - Module_1 40 40 Week 1: Data Organization and Analysis - Discussion 30 30 Week 2: Probability Concepts and Distributions - Module_2 35 35 Week 2: Probability Concepts and Distributions - Discussion 45 45 Week 3: Sampling Distributions - Module_3 35 35 Week 3: Sampling Distributions - Discussion 45 45 Week 4: Hypothesis Testing I - Basics ... Confidence Intervals - Module_4 35 35 Week 4: Hypothesis Testing I - Basics ... Confidence Intervals - Discussion 45 45 Week 5: Hypothesis Testing II - One Sample Hypothesis Tests - Module_5 35 35 Week 5: Hypothesis Testing II - One Sample Hypothesis Tests - Discussion 42 45 Week 6: Simple Linear Regression - Module_6 23 35 Week 6: Simple Linear Regression - Discussion 45 45 Week 7: Multiple Linear Regression - Module_7 0 35 Week 7: Multiple Linear Regression - Discussion 0 45 Week 7: Multiple Linear Regression - Course Project * 200 200 Week 8: Final Exam - Final Exam -- 250 250 905 1000 Total 90.50% 40/40 30/30 35/35 45/45 35/35 45/45 35/35 45/45 35/35 42/45 23/35 45/45 * * 455 (of 470 Comple

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Regression Analysis R² 0.878 Adjusted R² 0.867 n 24 R 0.937 k 2 Std. Error 78.456 Dep. Var. FOODTOT ANOVA table Source SS df MS F Regression 934,233.9263 2 467,116.9632 75.89 Residual 129,263.6987 21 6,155.4142 Total 1,063,497.6250 23 Regression output variables coefficients std. error t (df=21) p-value Intercept 1,873.2718 93.6237 20.009 3.72E-15 BEVTOTAL 0.0223 0.0038 5.899 7.43E-06 FOODPROMO 279.9308 33.9548 8.244 5.07E-08 Predicted values for: FOODTOT 95% Confidence Intervals BEVTOTAL FOODPROMO Predicted lower upper 26,000 0 2,452.686 2,403.150 2,502.221 26,000 1 2,732.617 2,684.826 2,780.407 1,873.2718  0.0223  279.9308  Multiple regression point: 1,873.2718  0.0223  279.9308  First, the intercept represents the overall "level" for the multip Second, we need to consider whether the intercept has any p We know that x = 0 x = 0 Therefore Sum 1,873.2718  0.0000  0.0000  1,873.2718  0 Intercept b 0 b 1 b 2 y = b 0  + b 1 x 1  +   b 2 x 2 Taking into account both of the above requirements, what is t y = b 0  + b 1 x 1  +   b 2 x 2 Smallest Value of Foodpromo, x 2
19051 Now, given the samlest value for beverage expenditures =  It is practical to think about Foodpromo value at

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Module 7 A - Grade Week 1 Data Organization and Analysis...

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