Algebra Lesson 3-6 Quiz v3

Last updated over 2 years ago

5 questions

1

The screenshot shows a data table and a linear regression for the data. What type of correlation does the correlation coefficient indicate?

The screenshot below shows a linear regression. Write the equation for the line of best fit for the data. Round values to the nearest tenth.

Which of the following statements are true about a model with the following residual plot? Select all that apply.

The model is a bad fit for the data because the data are not linear

The model is a good fit for the data because the residuals are randomly distributed above and below the x-axis.

The model is a good fit for the data because the residuals have no pattern.

The model is a bad fit for the data becuase the residuals have a clear pattern.

Terrance does a small experiement, measuring the position of a bowling ball as it rolls down a lane. Terrance's instruments record the position of the bowling ball once every second. Then Terrance uses his data to create a linear regression that models the motion of the bowling ball.

If he uses his model to find out where the ball was at half-second increments between his measured data points, that would be an example of

interpolation

factoring

extrapolation

linear progression

The scatter plot graph below displays a marker for each day the "Best Beach Buys" shop was open in June. The horizontal position of each data point indicates how many sunglasses were sold that day, the vertical position how many ice creams.

This scenario is an example of:

correlation without causation

correlation and causation

causation without correlation

neither correlation nor causation

The screenshot shows a data table and a linear regression for the data. What type of correlation does the correlation coefficient indicate?

a moderate positive correlation

a moderate negative correlation

a strong positive correlation

a weak negative correlation

no correlation

Which of the following statements are true about a model with the following residual plot? Select all that apply.

The model is a bad fit for the data because the data are not linear

The model is a good fit for the data because the residuals are randomly distributed above and below the x-axis.

The model is a good fit for the data because the residuals have no pattern.

The model is a bad fit for the data becuase the residuals have a clear pattern.

Terrance does a small experiement, measuring the position of a bowling ball as it rolls down a lane. Terrance's instruments record the position of the bowling ball once every second. Then Terrance uses his data to create a linear regression that models the motion of the bowling ball. 

If he uses his model to find out where the ball was at half-second increments between his measured data points, that would be an example of

interpolation

factoring

extrapolation

linear progression

The scatter plot graph below displays a marker for each day the "Best Beach Buys" shop was open in June. The horizontal position of each data point indicates how many sunglasses were sold that day, the vertical position how many ice creams.

This scenario is an example of:

correlation without causation

correlation and causation

causation without correlation

neither correlation nor causation

Algebra Lesson 3-6 Quiz v3

Algebra Lesson 3-6 Quiz v3

The screenshot below shows a linear regression. Write the equation for the line of best fit for the data. Round values to the nearest tenth.

The screenshot shows a data table and a linear regression for the data. What type of correlation does the correlation coefficient indicate?

The screenshot below shows a linear regression. Write the equation for the line of best fit for the data. Round values to the nearest tenth.

Which of the following statements are true about a model with the following residual plot? Select all that apply.

The scatter plot graph below displays a marker for each day the "Best Beach Buys" shop was open in June. The horizontal position of each data point indicates how many sunglasses were sold that day, the vertical position how many ice creams.This scenario is an example of:

The scatter plot graph below displays a marker for each day the "Best Beach Buys" shop was open in June. The horizontal position of each data point indicates how many sunglasses were sold that day, the vertical position how many ice creams.

This scenario is an example of: