Given:StudentPre-test ScoresPost-test Scores1848527886ITT388894798358487Find: degree of relationship of the two variablesLeast-Square Regression Line Equation (LSRL) and predict the post-test score if the pre-test score is 75.

Answered: Image /qna-images/answer/db829183-f1c8-4af4-9c83-cb13332e04cf.jpg

Answered: Given: Student Pre-test Scores…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 2SGR

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Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Excel file: https://drive.google.com/file/d/1TQG5r2wzLGk--75whZXyb0SDTHZTWS0S/view?usp=sharing
The data show The chest size and weight of several bears find regression equation, letting chest size be the independent variable then find the best predicted weight of a bear with a chest size of 51 inches is the result close to the actual weight of 422 pounds use a significance level of 0.05 Chest size : 45, 50, 43, 43, 52, 52. Weight : 352, 374, 275, 314, 440, 367.
Which of the variables is the indepenent variable and dependent variable for the following question. fit a simple linear regression model to predict latitudes using average monthly range lat= latitudes range= the average monthly range between mean montly maximum and minimum temperatures for a selected set of US cities.
A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period. Regression Analysis As Image: 1) Based on the simple regression analysis output, write the estimated regression equation. 2) What is the correlation coefficient between Risk of Stroke and Age? How do you find i
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 43 inches. Is the result close to the actual weight of 237 pounds? Use a significance level of 0.05. Chest_size_(inches) Weight_ (pounds)50 27954 33944 21954 29240 20136 116 Is the result close to the actual weight of 237 pounds? A. This result is close to the actual weight of the bear. B. This result is very close to the actual weight of the bear. C. This result is not very close to the actual weight of the bear. D. This result is exactly the same as the actual weight of the bear.
A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches). The regression equation is mpg_city= 35.5 - 0.0696 * displacement We have a car that has an engine with 141 cubic inches. Based on this output, what city gas mileage would you predict for this car?____ (Round answer to the nearest hundredth (2 decimal places.)
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 50 inches. Is the result close to the actual weight of 427 pounds? Use a significance level of 0.05. Chest_size_(inches) Weight_ (pounds)49 36851 38253 42061 48157 45745 287 What is the regression equation? y=___+___x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 50 inches? The best predicted weight for a bear with a chest size of 50 inches is __ pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 427 pounds?
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 63 inches. Is the result close to the actual weight of 562 pounds? Use a significance level of 0.05. Chest_size_(inches) Weight_ (pounds)58 41450 31265 49959 45059 45648 260 What is the regression equation?^y = ____ + _____ x (round to one decimal place as needed.)What Is the best predicted weight of a bear with a chest size of 63 inches? ^y =____ pounds (round one decimal as needed)Is the result close to the actual weight of 452 pounds?(a) This result is very close to the actual weight of the bear.(b) This result is close to the actual weight of the bear.(c) This result is exactly…
At one of the San Diego area beaches, there has been a problem with thefts in the summer months. A random sample of summer days was selected. For each day, the number of street cameras (X) in the beach area and the number of reported thefts (Y) were recorded. The data was analyzed to produce the results below: The regression equation is: Thefts = 9.78 – 0.493*(cameras) On a certain day there were 5 cameras in the area and 3 reported thefts. Calculate the residual for this day. 8.301 -4.315 4.315 3.301 7.315
Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education: 12, 15, 14, 13, 18, 10, 16, 12, 10, 4Score of Prejudice Test: 1, 6, 2, 3, 2, 4, 1, 5, 5, 10 The regression equation is calculated to be y' = 10.5 - 0.532x. After conducting a hypothesis test, your decision is to reject the null hypothesis. Predict the value of y' when x=11. 10.5 4.645 1.945 0.749
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Given: Student Pre-test Scores Post-test Scores 1 84 85 2 78 86 ITT 3 88 89 4 79 83 5 84 87 Find: degree of relationship of the two variables Least-Square Regression Line Equation (LSRL) and predict the post-test score if the pre- test score is 75.