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 48 inches. Is the result close to the actual weight of 528 pounds? Use a significance level of 0.05. Chest size (inches) 36 56 50 39 49 42 296 570 501 353 487 385 Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r CITE What is the regression equation? ŷ=+x (Round to one decimal place as needed.)

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 48 inches. Is the result close to the actual weight of 528 pounds? Use a significance level of 0.05. Chest size (inches) 36 56 50 39 49 42 296 570 501 353 487 385 Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r CITE What is the regression equation? ŷ=+x (Round to one decimal place as needed.)

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Section 10.2 Question #12 Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marblewith a diameter of 1.2 cm. How does the result compare to the actual circumference of 3.8 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball Diameter 7.5 24.3 4.2 21.7 6.9 4.1 20.7 Circumference 23.6 76.3 13.2 68.2 21.7 12.9 65.0 View the critical values of the Pearson correlation coefficient r. Critical values of the pearson correlation coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576…
The regression equation for sales price and number of bedrooms is: sales price (x$1000) = 31.1 + 41.6 bedrooms If an observation has 2 bedrooms with a sales price of 104 (x$1000), what is the residual for this observation? Group of answer choices A) -20.1 B) -10.3 C) 8.6 D) 12.9
Q12 a) Construct a regression model to determine the relationship between individual yearly income and the value of the car owned. b) Using the regression equation from (a) determine the value of the car if the yearly income is $40,000 c) Describe the relationship between yearly income and value of the car owned d) Identify the independent variable and dependent variable based on the regression model constructed in (a) e) Explain why it is incorrect to predict the value of the car if an individual income is $10,000
a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
C) if a country increases its life expectancy, the happiness index will increase or decrease d) if the life expectancy is increased by 4.5 years in a certain country .how much will the happiness index change? Round two decimal places e) use the regression line to predict that happiness index of a country with a life expectancy of 89 years . Round to two decimal places use the space below to type your answers
Answer only a and b
C) If Ariel converted her variables into standard deviation units and then computed her regression equation, what would her slope and intercept be?
A regression model involving 4 independent variables and a sample of 15 periods resulted in the following sum of squares:SSR = 165SSE = 60The test statistic from the information provided is _____. a. 4.710 b. 6.875 c. 2.110
Which of the following denotes the slope or the regression coefficient for X? A) The term a B) The term b C) The error term D) The correlation coefficient, r
The following questions are based on the graph below: If the mean of weight is 69.151 kg and the standard deviation is 13.359 kg and the mean of the height is 171.16 cm and the standard deviation is 9.41 cm. The correlation coeffient is 0.716. a) Find the linear regression equation to predict the weight b) Explain the meaning of the slope c) Find the coefficient of determination d) Explain the meaning of the coefficient of determination.
A random sample of 136 adults were asked to report the number of hours per week the spent on a computer and their number of years of education. The linear model equation below describes the relationship between the mean computers hours and years of education. computers == 9.12 ++ 0.8 ×× education Based on this linear model, which of the following statements is correct? a) An adult who has no years of education is expected to spend 9.12 hours per week on a computer. b) An adult who has 1 more year of education than another is expected to spend 9.12 more hours per week on a computer. c) An adult who spends 1 more hour per week on a computer than another is expected to have had 9.12 more years of education. d) An adult who spend zero hours per week on a computer is expected to have 9.12 years of education.
A math professor selects 8 students at random from her calculus class and asks them to record their study times. After two weeks, she gives an exam. the number of hours, x, of study time and the test score, y, yield the following sample data summary: Ex = 117 Ey = 660 8 %3| n 3= Ea2 = 1869 54638 9519 The professor is a bit surprised. a) Find the equation of the regression line. b) Use the regression line to predict the score of a student who studies for 20 hours over the two weeks.