APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A copy machine dealer has data on the number of copy machines x at each of 89 customer locations and the number of service calls in a month y at each location. Summary calculations give x̄ = 8.4, sx = 2.1, ȳ = 14.2, sy = 3.8, and r = 0.86. What is the y-intercept of the least-squares regression line of number of service calls on number of copiers?
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1.096
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1.651
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10.208
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27.304
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-13.752
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Explanation:
Detailed explanation-1: -Which of the following best describes what s= 1218.65 represents in this setting? The standard deviation of the residuals.
Detailed explanation-2: -It is obtained simply by entering two columns of data (x and y) then clicking “Tools-Data analysis-Regression". We see that it gives us the correlation coefficient r (as “Multiple R"), the intercept and the slope of the line (seen as the “coefficient for pH” on the last line of the table).
Detailed explanation-3: -The equation ˆy=ˆ1x+ˆ0 specifying the least squares regression line is called the least squares regression equationThe equation ˆy=ˆ1x+ˆ0 of the least squares regression line..
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