Answer :The first one
Step-by-step explanation:
Answer:
your answer is C
Step-by-step explanation:
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
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Answer:
14.58
Step-by-step explanation:
Answer:
x=-1
Step-by-step explanation:
x^2+2x=16=0
Use the quadratic formula to find the solutions.
−b±√b2−4(ac)/
2a
Substitute the values
a=1, b=2, and c=−16 into the quadratic formula and solve for x