## The y-intercept (b0) represents the predicted value of y once x = 0.

You are watching: If the correlation coefficient r 1.00 then

predicted worth of y.
variation around the line of regression.

## The slope (b1) represents: predicted worth of y once x = 0.
predicted value of y.
variation about the heat of regression.

## The least squares an approach minimizes i m sorry of the following? Sum that the pure deviations from the line
Sum of the squared deviations from the line
The variance in the it was observed y-values
All of the above

## If the sample correlation coefficient rxy is equal to -1.00, then all the data points must fall exactly on a right line when the slope equates to 1.00.
all the data points should fall exactly on a right line with a an adverse slope.
all the data points must fall precisely on a straight line through a positive slope.
all the data points need to fall specifically on a horizontal directly line through a zero slope.

## If the correlation coefficient is same to 0, then all the data points need to fall exactly on a straight line as soon as the slope equals 1.00.
all the data points should fall precisely on a directly line with a an unfavorable slope.
all the data points should fall exactly on a right line through a confident slope.
all the data points need to be scattered in a arbitrarily pattern.

## The strength of the direct relationship between two numerical variables may be measure by the mean.
interquartile range.
coefficient of variation.
correlation coefficient.

## In a an easy linear regression problem, rxy and also b1 may have opposite signs.
must have actually the same sign.
must have actually opposite signs.
are equal.

## Assuming a straight relationship in between X and also Y, if the coefficient the correlation (rxy) equals -0.30 there is no correlation.
the steep (b1) is negative.
variable X is larger than change Y.
the variance the X is negative.

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## Referring come Table 3-1, what is the estimated slope parameter because that the liquid bar price and sales data? 161.386
0.784
- 3.810
- 48.193

## Referring to Table 3-1, if the price of the candy bar is set at \$2, the suspect sales will certainly be ________. 30
65
90
100
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