The production of wine is a​ multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine​ experts, data was collected from red wine variants of a certain type of wine. A sample of 12 wines is given. Develop a simple linear regression model to predict wine​ quality, measured on a scale from 0​ (very bad) to 10​ (excellent), based on alcohol content​ (%).    b. For these​ data, b0=4.4 and b1=0.2. Interpret the meaning of the​ slope, b1​, in this problem. Choose the correct answer below.     A.

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The production of wine is a​ multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine​ experts, data was collected from red wine variants of a certain type of wine. A sample of 12 wines is given. Develop a simple linear regression model to predict wine​ quality, measured on a scale from 0​ (very bad) to 10​ (excellent), based on alcohol content​ (%). 

 

b. For these​ data, b0=4.4 and b1=0.2. Interpret the meaning of the​ slope,
b1​, in this problem. Choose the correct answer below.
 
 
A.
The​ slope, b1​, implies that for each increase of 1 wine quality​ rating, the alcohol content is expected to increase by the value of b1​, in percentages.
 
B.
The​ slope, b1​, implies that the alcohol content is equal to the value of b1​,
in percentages.
 
C.
The​ slope, b1​, implies that for each increase of alcohol percentage of​ 1.0, the wine quality rating is expected to increase by the value of b1.
 
D.
The​ slope, b1​, implies that for each 0.2 percentage decrease in alcohol​ content, the wine should have an increase in its rating by 1
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