The screenshot below shows a linear regression. Write the equation for the line of best fit for the data. Round values to three significant figures.
Question 3
3.
Question 4
4.
Questions 5-7 pertain to the following scenario:
The scatter plot graph below associates two measures for each year of data: (horizontally) the number of fresh lemons the US bought from Mexico, and (vertically) the total number of deaths on US highways that year.
Question 5
5.
Question 6
6.
Question 7
7.
The screenshot shows a data table and a linear regression for the data. What type of correlation does the correlation coefficient indicate?
a weak negative correlation
no correlation
a moderate positive correlation
a strong positive correlation
a moderate negative 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 all very close to zero.
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.
An amature philatelist tracks the number of different stamps the US Postal Service has sold in each year of her life. She uses this data to predict how many new US stamps she will want to collect in the next upcomming years. This is an example of using a linear trend for the purposes of...
extrapolation
factoring
interpolation
linear progression
True or False?
There is a correlation between lemon imports from Mexico and highway deaths.
True
False
True or False?
There is a significant causal connection between lemon imports from Mexico and highway deaths. That is, most of the changes in highway deaths can be (causally) explained by changes in the amount of lemons imported.