What percent of the girls’ ages is more than 1 year different from the age predicted by the line of best (linear regression) fit for the data. Round to the nearest percent.
Question 2
2.
Delaware has an area of 2,000 square miles. Which is true if Delaware is included in the data set?
Question 3
3.
The vertices of quadrilateral EFGH are E ( 1, 1), F( 5, 3), G (7, 7), and H(3, 5). What kind of quadrilateral is EFGH?
Question 4
4.
R is the midpoint of segment PS. Q is the midpoint of segment RS.
P is located at (8, 10), and S is located at (12, 6). − What are the coordinates of Q?
Question 5
5.
The number of points scored by a basketball player in the first eight games of a season are shown below.
15, 35, 18, 30, 25, 21, 32, 16
What would happen to the data distribution if she scored 24, 22, 27, and 28 points in her next four games?
Question 6
6.
A triangle has vertices at (6, 3), (2, 5), and ( − 4, 4) . What is the approximate perimeter of the triangle?
Question 7
7.
One endpoint of RS is R(4, 6), and its midpoint is Q(6, 9). What are the coordinates of the other endpoint, S?
Question 8
8.
A line segment has endpoints of P(5, 6) and Q(1, –10). What are the coordinates of the midpoint?
Question 9
9.
A diameter of a circle has endpoints at (8, 12) and (2, 6). What are the coordinates of the center of the circle?
Question 10
10.
A square has vertices at (1, –2), (7, –2), (7, 3), and (1, 3). The diagonals of the square intersect at their midpoints. At what point do the diagonals of the square intersect?
Question 11
11.
Three vertices of a rectangle are located at the points (2, 1), (–3, –2), and (–1, –4). What are the coordinates of the fourth vertex of the rectangle?
Question 12
12.
The line of best fit for a data set is y = 348x + 19. The point (2, 700) is in the data set. What is the residual value for that data point?
Question 13
13.
Using the best-fit linear model, which x-value has the largest residual?
Question 14
14.
The data is modeled with a best-fit linear function. Which data point is closest to its predicted value?
Question 15
15.
Maria recorded the number of ants in a colony each week for six weeks.
Maria used the best-fit linear function to model the data. Which statement about the residuals is true?
Question 16
16.
Ms. Reid recorded the number of goals her team scored during 7 games.
5, 4, 2, 1, 3, 6, 1
In the next game, the team scored 13 goals. How did this affect the mean and median of the data set?
Question 17
17.
Mr. Gonzalez asked students in two of his classes how many hours they spend each week playing video games. The results are shown here.
class 1: 0, 5, 5, 10, 10, 10, 10, 11, 12
class 2: 6, 10, 10, 12, 15, 18, 25, 30
Which statement correctly compares the standard deviation of the two classes?
Question 18
18.
The cost, in thousands of dollars, of cars on two different sales lots are shown in this table.
Which statement is true?
Question 19
19.
This table shows how many movie tickets were sold at a theater each night for a week.
The data set was modeled with the linear best-fit model. What is the correlation coefficient to the nearest hundredth?
Question 20
20.
This table shows the number of minutes, y, a college student studies each night, x.
The data set is modeled with the linear best-fit function. Using the correlation coefficient, what is the relationship between the variables?
Question 21
21.
The exponential function for the table is f(x) = _______ (_______ )^x
Question 22
22.
A scientist is growing a bacteria culture in a Petri dish. This table shows the amount, y, of bacteria in the Petri dish after x days.
The data can be modeled with the best-fit exponential model. Based on the model, approximately how many bacteria will be in the Petri dish after 2 weeks
Question 23
23.
The line of best fit for a data set is y = 348x + 19. The point (2, 700) is in the data set. What is the residual value for that data point?
Question 24
24.
This table shows how the value of a machine decreases exponentially.
Using the best-fit exponential model, what will be the approximatevalue of the machine when it is 12 years old? Round to the nearest dollar.
The points in the residual plot are uniformly scattered, so a linear model is not appropriate for the data.
Class 2 has the greater standard deviation, because there is less spread for class 1.
Lots 1 and 2 have the same mean, but different standard deviations.