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.
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?
a strong positive correlation
a weak positive correlation
a strong negative 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 bad fit for the data because the residuals are too big.
The model is a good fit for the data because the residuals have no pattern.
Emmy calculates a line of best fit from a data set with x-values between -15 and 11. When she uses the linear equation from her regression to predict a theoretical y-value when x=100, this is an example of
factoring
extrapolation
interpolation
linear progression
Between 1970 and 1985, the number of breeding pairs of white storks in Lower Saxony dropped. Over the same period, the birth rate there also fell. Meanwhile, stork numbers increased in Berlin’s suburbs, where doctors delivered more babies.