To find the best predicted productivity score for a person with a dexterity score of 32, we use the regression equation acquired from the data:
y = bx + a
where b is the slope and a is the intercept. Given that the data yield r = 0.986, we know that r^2 = 0.972 (r squared).
Next, we look at the regression equation and determine the values of the slope and intercept using the data provided.
Once we have the equation, we can plug in x = 32 to find the predicted productivity score (y).
Without the specific regression equation provided in the question, we are unable to accurately determine the best predicted productivity score for a dexterity score of 32. Therefore, we are unable to select between the given options (A, B, C, or D) as the correct answer.
The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is Ten pairs of data were used to obtain the equation. The same data yield r = 0.986 and
What is the best predicted productivity score for a person whose dexterity score is 32? Use α = 0.05.
(1 point)
Responses
A.177.91
B.58.20
C.66.62
D.56.30
1 answer
1 answer