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The computer regression output includes the R-squared values, and adjusted R-squared values as well as other important values
a) The equation of the least-squares regression line is
b) The correlation coefficient for the sample is approximately 0.351
c) The slope gives the increase in the attendance per increase in wins
Reasons:
a) From the computer regression output, we have;
The y-intercept and the slope are given in the <em>Coef</em> column
The y-intercept = 10835
The slope = 235
The equation of the least-squares regression line is therefore
b) The square of the correlation coefficient, is given in the table as R-sq = 12.29% = 0.1229
Therefore, the correlation coefficient, r = √(0.1229) ≈ 0.351
The correlation coefficient for the sample, r ≈ <u>0.351</u>
c) The slope of the least squares regression line indicates that as the number of attending increases by 235 for each increase in wins
Learn more here:
The value of the expression -2xy for x = -4.7 and y = 0.2 is 1.88. Thus option number 3 is correct.
<u>Solution:</u>
We have been given an expression that is -2xy and have been asked to find its value for the given values of x and y
The given values of x and y are -4.7 and 0.2 respectively.
To find the value of the expression for the given values of x and y we substitute the values of x and y in the given expression and solve it as follows:
Given expression = -2xy
Hence the option number 3 is correct.