Using the regression formula with a slope = .704 and an intercept = .919, what would the predicted college GPA be for a student whose current high school GPA = 3.2? a. 3.00 b. 2.69 c. 3.17 d. 2.97
Using the regression formula with a slope = .704 and an intercept = .919, what would...
Using the regression formula with a slope = .704 and an intercept = .319, what would the predicted college GPA be for a student whose current high school GPA = 3.2? a. 3.61 b. 2.57 c. 2.33 d. 3.20
1. The regression equation relating high school GPA (x) and college GPA (y) for 100 randomly selected FAU students is y = 0.57x + 0.82. Use the equation to determine the college GPA of a student whose high school GPA is 2.5. Round your answer to two decimal places. a. 3.89 b. 2.62 c. 2.25 d. 1.17
Objective 2: Interpret the Slope and the y-Intercept of the Least-Squares Regression Line 4.2 Least-Squares Regression 4.2.13 0 of 1 Point Question Help A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y0.0575x +...
A researcher develops a regression equation to predict first-year college grades (Y) from high school GPA (X): Y = 1.46 + .51X + e. A student with a high school GPA of 2.8 had an actual first-year college GPA of 3.7. What was the error of prediction for this student? A.) 0.5 B.) -0.5 C.) -0.8 D.) 0.8
Wide po is the intercept of the population regression line , is the slope of the population regression line s the error form, and the subscriptions over observations, ist.. For this, you collect data from a random sample of 250 people. After analyzing the data, you determine that the covariance between people's weight and the number of times they eat out in a month is 4.62 and the variance of the number of times people eat out in a month...
A guidance counselor at a local high school is interested in determining what, if any, linear relationship there is between high school percentile ranks and college GPAS. A student's percentile rank is calculated by determining the percentage of all students in the graduating class with a final high school GPA at or below his or hers. For example, a student graduating 10th in a class of 300 would have a percentile rank (to one decimal place) of (290/300)x100 - 96.7....
The admissions officer for a college developed the following estimated regression equation relating the final GPA to the student's SAT mathematics score and high- school average ge-1.41 +0.0235x4 +0.004862 Where xy high-school average, Xy SAT mathematics score, and y final college GPA a) Interpret B, in this estimated regression equation b) Interpret B, in this estimated regression equation c) Estimate the final GPA for a student who has a high-school average of 84 and a score of 540 on the...
Using simple linear regression analysis, the equation for a line through the data is estimated to be y = 1.9 + 0.55. For each of the x values, calculate the observed y. the predicted y and the residual. 4.3 For the following four regression equations, explain what the slope and intercept mean. a. wage = 2.05 + 1.32education, where wages dollars earned per hour and educa- b. GPA c, sleep 10.33-0.44work, where sleep is hours spent sleeping per night and...
Question 6 What is the best estimate for the slope of the regression line in the following scatterplot? 12 10 8 School GPA 1 2 0 04 80 90 120 130 100 110 IQ test score O 2.0 0.2 -1 0.9 Question 7 If you use the regression line to predict the GPA of a student with 1Q=110, which of the following is the best estimate of the result? 12 10 8 School GPA 2 04 80 90 110 120...
b) Calculate the slope and y-intercept for the regression equation. Therefore, the slope is_____ and the y-intercept is_____. c) Provide an interpretation for the value of the slope. d) Calculate the SST. e) Partition the SST into the SSR and the SSE. Engine Size MPG ar Model A Model B Model C Model D Model E Model F Model G Model H Model I 2.4 2.1 2.6 3.3 3.5 2.2 2.3 2.1 3.8 25 31 25 24 27 25 30...