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Owner: nab16b
Created: Nov 12, 2017
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Beer Report Part 2
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In my original scatterplot I had the outlier at 0,0 removed. A 0.1 significance level is appropriate level because it is precise.

Line of Best fit y = mx + 100.

Scatter Plot 1 has the outlier removed.

Scatter Plot doesn't.

It is a good fit for the data. The data is correlated. The correlation does cause causation. 

Simple Linear Regression results 

Dependent Variable: Calories

Independent Variable: Alcohol

Alcohol = 5.6 + 209 Calories

Sample size: 872

Correlation coffecient: 0.95346512

R-sq= 0.92307439

Estimate error of standard deviation: 2.3024095e8

Parameter estimates: 

ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept 37495663 5693453 ≠ 0 820 2.937632 0.0008
Slope 0.91253886 0.0082165443 ≠ 0 820 98.27765 <0.0001

Analysis of variance table for regression model: 

Model 1 3.1231543e20 6.1231632e20 10589.774 <0.0001
Error 850 7.8334216e19 5.782147e16    
Total 851 10.9565759e39    

Result 1: Scatter Plot 1   [Info]
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Result 2: Scatter Plot   [Info]
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Data set 1. Beer - (Project Part 1)   [Info]
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HTML link:
<A href="">Beer Report Part 2</A>

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By xg15
Nov 15, 2017

need to draw the fitted model on the scatterplot to show the fit of the regression.

Always Learning