b0 = 34.360 and b1 = .068. what would the predicted score of someone who scores 659 be
Question
Question:
Given the parameters
- b0 = 34.360
- b1 = 0.068
what would the predicted score of someone who scores 659 be?
Solution
The predicted score can be calculated using the linear regression equation, which is:
Y = b0 + b1*X
where:
- Y is the predicted score
- b0 is the y-intercept
- b1 is the slope of the line
- X is the given score
Given that b0 = 34.360, b1 = .068, and X = 659, we can substitute these values into the equation:
Y = 34.360 + .068*659
Now, calculate the value of Y:
Y = 34.360 + 44.812
Y = 79.172
So, the predicted score of someone who scores 659 would be 79.172.
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