Pre-Test on Slope

(2, -1) and (0,1) are on the same line. Find the slope and y-intercept of this line and chose the slope-intercept equation that represents the line.

• y = 2x - 1

• y = 2x + 1

• y = -1x + 1

• y = 1x - 1

Tags

CCSS.8.EE.B.6

CCSS.8.F.A.3

Which of the following graphs is an example of a line with a negative slope?

• 
• 
• 
• 

Tags

CCSS.8.EE.B.5

Slope is another word for:

• Initial Value

• Rate of Change

• Change in Y's

• Y-intercept

Tags

CCSS.8.EE.B.5

Which graph is linear?

• Graph A

• Graph B

• Graph C

• Graph D

Tags

CCSS.8.F.A.3

What is the slope of the following straight line?

• m = -4

• m = 4

• m = -1/4

• m = -2

Tags

CCSS.8.EE.B.5

Which of the following are ways to find the rate of change?

• change in y over change in x

• rise over run

• subtract y coordinates over subtract x coordinates

• all of the above

Tags

A.FGR.2.2

The average movie ticket prices in the US are represented in a table and a graph.  Based on this information, what value is closest to the average rate of change for 1990 - 2010? (Click the picture to enlarge it, you may need to click it TWICE)

• $0.03

• $0.18

• $1.48

• $3.67

Tags

CCSS.8.F.B.4

CCSS.HSF.IF.B.6

Ms. Kreppel is interested in the relationship between her students' final exam scores and their scores on a pre-test they took at the beginning of the year. Below is a scatterplot showing this relationship for the 18 students in her class. How would the slope of the least-squares regression line change if the individual whose point is circled were removed from the data set?

• The slope would increase.

• The slope would decrease.

• The slope would be unchanged.

Which of the following statements about the slope of the least-squares regression line is true?

• It has the same sign as the correlation coefficient r.

• The square of the slope equals the proportion of the variation in the response variable that is explained by the explanatory variable.

• It is unitless.

The following computer output describes the relationship between y = height (in cm) and x = foot length (also in cm) for 12 randomly selected students from the British Census @ Schools database. The scatterplot for this relationship show a roughly linear shape. Which of the following is the correct interpretation of the number s = 7.39858?

• For each one-centimeter increase in foot length the model predicts an increase in height of 7.39858 centimeters.

• If we use the regression equation to predict height from foot length, our predictions will be, on average, off by 7.39858 centimeters.

• The typical difference between the height of a student and the mean student height is 7.39858.