Review #2.

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Presentation transcript:

Review #2

a) The line overestimates the data. 3) Which of the following is a correct conclusion based on the residual plot displayed? a) The line overestimates the data. b) The line underestimates the data. c) It is not appropriate to fit a line to these data since there is clearly no correlation between the variables. d) The data is not related. e) None of these choices is correct. Residuals Fitted values

5) You are given the regression equation: temperature = 30.4 - .72(distance), where temperature is the temperature displayed on a sensor in °C and distance is the distance in centimeters from the sensor to a heat source. Which of the following is not a reasonable conclusion? a) The temperature of the heat source is approximately 30.4°C. b) The temperature decreases approximately .72°C for each centimeter the sensor is moved away from the heat source. c) We can predict that the sensor displays a temperature of 21.76°C when the sensor is 12 centimeters away from the heat source. d) The correlation coefficient between temperature and distance indicates a negative relationship. e) All of these are reasonable.

7) If the correlation coefficient of a bivariate set of data {(x,y)} is r, then which of the following is true? a) The variable x and y are linearly related. b) The correlation coefficient of the set {(y,x)} is also r. c) The correlation coefficient of the set {(x,ay)} is also a ·r. d) The correlation coefficient of the set {(ax,ay)} is also a ·r. e) None of these is true.

Income ($1000s) Age (years)