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- Multiple ChoicePlease save your changes before editing any questions.What letter do we use to represent correlation coefficient?crph
- Multiple ChoicePlease save your changes before editing any questions.Describe the correlation in the graph shown.Strong NegativeStrong PositiveWeak NegativeWeak Positive
- Multiple ChoicePlease save your changes before editing any questions.What would be the correlation between study time and test grades?positivenegativenonecannot be determined
- Multiple ChoicePlease save your changes before editing any questions.The linear regression equation is y = 61.93x - 1.79. Identify the y-intercept of the equation.Y-Int = 61.93Y-Int = -1.79Y-Int = (0, -1.79)Y-Int = (0, 61.93)
- Multiple ChoicePlease save your changes before editing any questions.The linear regression equation is y = 61.93x - 1.79. Identify the slope of the equation.Slope = 61.93Slope = -1.79Slope = (0, -1.79)Slope = (0, 61.93)
- Multiple ChoicePlease save your changes before editing any questions.The linear regression equation is y = 61.93x - 1.79. According to the equation, the y-intercept can be interpreted as:After 0 hours of driving, they went -1.79 miles.They are driving -1.79 miles per hour.They drove 1.79 miles total.They drive 1.79 hours total.
- Multiple ChoicePlease save your changes before editing any questions.What type of correlation does this graph show?Positivenegativenoneall of the above
- Multiple ChoicePlease save your changes before editing any questions.
The residual plots from five different least squares regression lines are shown below. Which of the plots shows the strongest evidence that its regression line is an appropriate model for the data and is consistent with the assumptions required for inference for regression?

- Multiple ChoicePlease save your changes before editing any questions.
The computer output below shows the result of a linear regression analysis for predicting the concentration of zinc, in parts per million (ppm), from the concentration of lead, in ppm, found in fish from a certain river. Which of the following statements is a correct interpretation of the value 19.0 in the output?

On average there is a predicted increase of 19.0 ppm in concentration of lead for every increase of 1 ppm in concentration of zinc found in the fish.

On average there is a predicted increase of 19.0 ppm in concentration of zinc for every increase of 1 ppm in concentration of lead found in the fish.

The predicted concentration of zinc is 19.0 ppm in fish with no concentration of lead.

The predicted concentration of lead is 19.0 ppm in fish with no concentration of zinc.

Approximately 19% of the variability in the zinc concentration is predicted by its linear relationship with lead concentration.

- Multiple ChoicePlease save your changes before editing any questions.The following computer output describes the relationship between y = height (in cm) and x = foot length (also in cm) for 12 randomly selected students from the British Census @ Schools database. The scatterplot for this relationship show a roughly linear shape. Which of the following is an equation of least-squares regression line for these data?Height = 117.99 + 1.878 (Foot Length)Foot Length = 117.99 + 1.878 (Height)Height = 1.878 + 117.99 (Foot Length)Foot Length = 1.878 + 117.99 (Height)
- Multiple ChoicePlease save your changes before editing any questions.
Is there a relationship between reaction time and age? A statistics student measures the reaction time of 12 subjects by measuring how far a yardstick drops, in inches, before a subject catches it between his or her thumb and forefinger (a high number thus indicates a slow reaction time). The student plans to use linear regression to see if reaction time can be predicted by the age of the subject. Output from a computer regression analysis is given below. The equation of the least-squares regression line is