b. What is your regression line written in the form ŷ = a+bx? (Round a and b to 3 decimal places pleasel) b. Use your regression equation above to predict the height of a building with 70 stories: (Please enter a whole number) C.Compute the coefficient of determination (write It as a decimal here). d. Determine the percentage of the variation in the observed values of the response variable, height, explained by the regression with the explanatory variable, stories. 96 e. The predictor variable,x, is and the response variable is 1. How would you interpret the slope-of the regression line in words? For every 1 foot increase in height, the number of stories increases by about 11.76 stories on average. O For every 1 story increase in the number of stories a building has, the height increases by about 11.76 feet on average. OA1-story building will be 11,76 feet high O For each 102.43 stories increase in the number of stories, the height will increase by 1 foot, on average. OFor every 1 story increase in the number of stores a bulding has, the height increases by about 102.43 feet on average. RWould it be valid to use this regression line to estimate the average height of a building with 10 stories?

b. What is your regression line written in the form ŷ = a+bx? (Round a and b to 3 decimal places pleasel) b. Use your regression equation above to predict the height of a building with 70 stories: (Please enter a whole number) C.Compute the coefficient of determination (write It as a decimal here). d. Determine the percentage of the variation in the observed values of the response variable, height, explained by the regression with the explanatory variable, stories. 96 e. The predictor variable,x, is and the response variable is 1. How would you interpret the slope-of the regression line in words? For every 1 foot increase in height, the number of stories increases by about 11.76 stories on average. O For every 1 story increase in the number of stories a building has, the height increases by about 11.76 feet on average. OA1-story building will be 11,76 feet high O For each 102.43 stories increase in the number of stories, the height will increase by 1 foot, on average. OFor every 1 story increase in the number of stores a bulding has, the height increases by about 102.43 feet on average. RWould it be valid to use this regression line to estimate the average height of a building with 10 stories?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

10:56 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares regressio. OC OO D The managers of an electric utility wish to examine the relationship between temperature and electricity use in the utility's service region during the summer months. In particular, the managers wish to be able to predict total electricity use for a day from the maximum temperature that day. The bivariate data below give the maximum temperature (in degrees Fahrenheit) and the electricity use (in thousands of kilowatt hours) of electricity generated and sold for a random sample of sixteen summer days. A best-fitting line for the data, obtained from least- squares regression, is given by =53.28 + 3.07.x, in which x denotes the maximum temperature and y denotes the electricity use. This line is shown in the Figure 1 scatter plot. Temperature, x Electricity use, y (in degrees Fahrenheit) (in thousands of kilowatt hours) 78.4 295.4 72.5 232.1 00- 72.7 276.8 94.5 363.4 375 94.8 335.6…
FAL The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3
Explain what the Coefficient of Determination (R2: R squared) is, and explain how the measure is used for Linear Regression models.
The accompanying data are the shoe sizes and heights (in inches) of 14 men. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=11.5 (b) x=8.0 (c) x=15.5 (d) x= Shoe Size, x Height, y8.5 66.09.0 69.09.0 67.59.5 70.510.0 70.510.0 72.010.5 71.510.5 70.011.0 71.011.0 71.511.0 73.012.0 73.012.0 74.012.5 73.5 The equation of the regression line is y= ____x +____
I need the right answer to this problem.
Q5. Find the equation of Regression line for the given data. X: 15 3 4 7 Y: 5 6 10 20 2 Find the value of Y when X = 6.
For the relationship between Calories and Carbs, here is the equation of the line of best fit: nts Regression Equation: Calories = 2.36 + 4.432 Carbs The range of Carb values in the dataset was between 17 and 47 Carbs. What wourd you say if asked to predict the number of Calories if a cereal had 60 Carbs? Type your response in the text box..
Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
Using the regression formula with a the beta coefficient (or slope) = .53 and intercept = 1.17, what would the predicted college GPA be for a student whose current high school GPA = 2.7 when high school GPA is the independent variable? A. 2.87 B. 3.4 C. 1.43 D. 2.6
You make the bold assumption that there is a linear relationship between number of ads and sales revenues. Find the intercept, b0, and the slope, b1, of the estimated regression equation that will minimize the sum of square residuals.
The accompanying data are the caloric contents and the sugar contents (in grams) of 11 high-fiber breakfast cereals. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. Calories, x Sugar, y 140 6 200 10 160 6 160 9 170 10 180 16 190 13 210 18 190 19 170 10 170 10 The equation of the regression line is ŷ = ______ x + ______ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (a) x = 150 cal, (b) x = 90 cal, (c) x = 175 cal, (d) x = 208 cal…
Please no written by hand solutions 3. A researcher is interested in the correlation between a person’s age and the amount of sleep they get. He uses a poll to collect representative data for 2,000 people. The researcher performs a regression, with a dependent variable of minutes per week spent sleeping, and an independent variable of age in years. The regression results are as follows: - (Intercept): 150 - age: -5 Answer the following: - What is the regression line? - What is the predicted number of minutes sleeping for someone who is 20 years old? - The researcher is also interested in the relationship between age, sleep, and politics. Each person who responds to the poll chooses a value for liberal between 0 (very conservative) and 100 (very liberal) to describe their politics. The researcher performs a regression with the same independent variable of minutes per week sleeping, and dependent variables of age and liberal. The regression results are as follows: - (Intercept):…