y = Bot Box, where Bo is the y-intercept and ₁ represents the slope, which is, by definition, the change in y for every one unit increase in x. Recall that we were previously given the regression equation y = 1,820 + 1.2x. We can apply this definition of slope to this situation by saying when accelerated strength increases by 1 psi, the expected change in 28-day strength (in pounds per square inch) is psi.

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Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
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(b) By how much can we expect 28-day strength to change when accelerated strength increases by 1 psi?
Recall the formula for the regression line:
y = B₁ + B₁x,
where Bo is the y-intercept and B₁ represents the slope, which is, by definition, the change in y for every one unit increase in x. Recall that we were previously given the regression equation
y = 1,820 + 1.2x. We can apply this definition of slope to this situation by saying when accelerated strength increases by 1 psi, the expected change in 28-day strength (in pounds per square inch) is
psi.
Transcribed Image Text:Step 2 (b) By how much can we expect 28-day strength to change when accelerated strength increases by 1 psi? Recall the formula for the regression line: y = B₁ + B₁x, where Bo is the y-intercept and B₁ represents the slope, which is, by definition, the change in y for every one unit increase in x. Recall that we were previously given the regression equation y = 1,820 + 1.2x. We can apply this definition of slope to this situation by saying when accelerated strength increases by 1 psi, the expected change in 28-day strength (in pounds per square inch) is psi.
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