Interpret Slopes of Linear

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50% Find the final grade of a student who was absent for 0 days. Enter a numerical answer only round to the nearest tenth.

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50% The final grade for a student who missed 0 days is 96.1%. Does this prediction make sense in the context of the problem?

• Yes

• No

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50% Find the final grade of a student who was absent for 5 days. Enter a numerical answer only round to the nearest tenth.

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50%. The final grade for a student who missed 5 days is 81.1%. Does this prediction make sense in the context of the problem?

• Yes

• No

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50%. The final grade for a student who missed 10 days is 66.1%. Does this prediction make sense in the context of the problem?

• Yes

• No

On randomly chosen days during a summer class, temperatures were recorded as well as the number of absences on those days. The equation of the regression line used to model this relationship is: ŷ = 0.501x - 30.27. There’s a half-degree increase every time thirty people are absent.

• TRUE

• FALSE

On randomly chosen days during a summer class, temperatures were recorded as well as the number of absences on those days. The equation of the regression line used to model this relationship is: ŷ = 0.501x - 30.27. True or false? You can expect one person to be absent for every two degrees increase in temperature.

• TRUE

• FALSE

On randomly chosen days during a summer class, temperatures were recorded as well as the number of absences on those days. The equation of the regression line used to model this relationship is: ŷ = 0.501x - 30.27.

True or false?

There are 30 absences for every one degree increase in temperature.

• TRUE

• FALSE

On randomly chosen days during a summer class, temperatures were recorded as well as the number of absences on those days. The equation of the regression line used to model this relationship is: ŷ = 0.501x - 30.27. True or false? If the temperature is 81 degrees, you can predict about 10 people to be absent.

• TRUE

• FALSE

The number of absences and the final grades were collected from 9 randomly selected students from a statistics class. A linear model for this relationship is ŷ = -3x + 96.14 r = 0.71 r^2 = 50%. The final grade for a student who missed 35 days is -8.9%. Does this prediction make sense in the context of the problem?

• Yes

• No