The screenshot below shows a linear regression. Write the equation for the line of best fit for the data. Round values to the nearest whole number.
Question 3
3.
Question 4
4.
Question 5
5.
The screenshot shows a data table and a linear regression for the data. What type of correlation does the correlation coefficient indicate?
no correlation
a strong negative correlation
a strong positive correlation
a weak negative correlation
a weak positive 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.
Emmy gets hired on as a business strategy consultant for a film production company. Emmy considers the following scatterplot, which shows the production budget (x-axis) and gross US revenue (y-axis) for over 3000 movies.
If Emmy uses this data to make predictions about the possible gross revenue in the US from a movie with a $400 Million USD budget, this would be an example of which of the following?
extrapolation
linear progression
interpolation
factoring
Emmy also made this scatterplot that shows the relationship between overall movie profit and production budget.