Term
1 answer:
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:
Therefore, on the graph;
The height = 7.5 units
And base = 5.0 units
Attached is an image for further information;
Step-by-step explanation:
Given that;
1 unit on the grid represent 2m of the garden;
Ratio = 1/2 unit/m
For the height;
height h = 15m
On the graph;
h = 15m × 1/2 unit/m
h = 7.5 units
For the base;
Base b = 10m
On the graph;
b = 10m × 1/2 unit/m
b = 5 units
Therefore, on the graph;
The height = 7.5 units
And base = 5.0 units
