If there is a linear relationship between the quantity of food a person consumes per day and the person’s weight, the quantity of food a person consumes per day is the ______________.
-
A
independent variable -
B
Unable to determine -
C
dependent variable
A correlation coefficient for 9 pairs of data is calculated to be -0.213. Is the relationship between the variables statistically significant?
-
A
Unable to determine -
B
No -
C
Yes
Consider the following pairs of data (independent variable given first):
- (17, 56)
- (13, 48)
- (35, 65)
- (89, 146)
- (55, 121)
- (86, 130)
Calculate the Least Squares Line.
-
A
y-hat = -20.93 + 0.73x -
B
y-hat = 33.33 + 1.24x -
C
y-hat = 1.24 + 33.3x -
D
y-hat = 0.73 - 20.93x
A correlation coefficient for 6 pairs of data is calculated to be 0. Then,
-
A
there is positive correlation between the variables. -
B
the Line of Best Fit has a negative slope. -
C
there is negative correlation between the variables. -
D
the Line of Best Fit has a slope of zero.
A study is done to see if there is a linear relationship between the life expectancy of an individual and the year of birth. The year of birth is the ______________.
-
A
Unable to determine -
B
dependent variable -
C
independent variable
If you determine a point is an outlier, you would
-
A
ignore it. -
B
always delete it and then recalculate the line of best fit. -
C
examine it carefully and try to determine what is causing it to be an outlier. -
D
use it in the calculation of the Sum of Squared Errors.
Consider the following pairs of data (independent variable given first):
- (17, 56)
- (13, 48)
- (35, 65)
- (89, 146)
- (55, 121)
- (86, 130)
Find the estimated y for an x-value of 40.
-
A
-836 -
B
1334 -
C
83 -
D
8.3
A study is done to see if there is a linear relationship between the calendar year and the population of a particular country. The calendar year is the ______________.
-
A
dependent variable -
B
Unable to determine -
C
independent variable
Consider the following pairs of data (independent variable given first):
- (16, 56)
- (10, 98)
- (35, 105)
- (4, 70)
- (12, 121)
The relationship between the two variables is ______________.
-
A
linear -
B
not significant -
C
parabolic -
D
exponential
Consider the following pairs of data (independent variable given first):
- (16, 56)
- (10, 98)
- (35, 105)
- (4, 70)
- (12, 121)
The regression line is ______________.
-
A
steeply sloped downward -
B
almost horizontal -
C
steeply sloped upward