Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. Predict the final exam score...

Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places.Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places.<br>The final exam score for a student who scored 64 on the midterm is<br>

Extracted text: Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places. The final exam score for a student who scored 64 on the midterm is
Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a<br>final exam from the score on a midterm exam.<br>The regression equation is<br>Final = 24.2765 + 0.71025 Midterm<br>Predictor<br>Coef<br>SE Coef<br>P<br>Constant 24.2765 4.39726 5.521<br>0.000<br>Midterm 0.71025 0.14001<br>5.073<br>0.000<br>Part 1 of 2<br>Write the equation of the least-squares regression line. Use the full accuracy shown in the MINITAB output (do not round<br>your answers).<br>Regression line equation: y= 24.2765+0.71025x<br>

Extracted text: Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. The regression equation is Final = 24.2765 + 0.71025 Midterm Predictor Coef SE Coef P Constant 24.2765 4.39726 5.521 0.000 Midterm 0.71025 0.14001 5.073 0.000 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the MINITAB output (do not round your answers). Regression line equation: y= 24.2765+0.71025x

Jun 07, 2022
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