Answered: Discuss the relationship of the…

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Discuss the relationship of the negative sign or positive sign in the value of correlation coefficient

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 4SGR

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XYZ Corporation Stock Prices The following table shows the average stock price, in dollars, of XYZ Corporation in the given month. Month Stock price January 2011 43.71 February 2011 44.22 March 2011 44.44 April 2011 45.17 May 2011 45.97 a. Find the equation of the regression line. Round the regression coefficients to three decimal places. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict the stock price to be in January 2012? January 2013?
Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300
What is regression analysis? Describe the process of performing regression analysis on a graphing utility.
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Demand for Candy Bars In this problem you will determine a linear demand equation that describes the demand for candy bars in your class. Survey your classmates to determine what price they would be willing to pay for a candy bar. Your survey form might look like the sample to the left. a Make a table of the number of respondents who answered yes at each price level. b Make a scatter plot of your data. c Find and graph the regression line y=mp+b, which gives the number of respondents y who would buy a candy bar if the price were p cents. This is the demand equation. Why is the slope m negative? d What is the p-intercept of the demand equation? What does this intercept tell you about pricing candy bars? Would you buy a candy bar from the vending machine in the hallway if the price is as indicated. Price Yes or No 50 75 1.00 1.25 1.50 1.75 2.00
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) A real estate magazine reported the results of a regression analysis designed to predict theprice (y), measured in dollars, of residential properties recently sold in a northern Virginiasubdivision. One independent variable used to predict sale price is GLA, gross living area(x), measured in square feet. Data for 157 properties were used to fit the model,? = β0 + β1x.The results of the simple linear regression are provided below.y = 96,600 +22.5x s = 6500 r2 = -0.77 t = 6.1 (for testing β1)Interpret the estimate of β0 the y-intercept of the line.a. About 95% of the observed sale prices fall within $96,600 of the least squares line.b. There is no practical interpretation, since a gross living area of 0 is a nonsensicalvalue.c. All residential properties in Virginia will sell for at least $96,600.d. For every 1-sq ft. increase in GLA, we expect a property's sale price to increase$96,600.
mester 2021 English (en) - The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x1), the number of days in the month (x2), the average product purity (x3), and the tons of product produced (x4). A multiple linear regression analysis was applied to the experimental data using MINTAB and the following results were obtained: Regression Analysis: y versus x1, x2, x3, x4 Regression Equation y - -123 + 0.757 x1 + 7.52 x2+ 248 x3 - 0.481 x4 Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -123 157 -0.78 0.459 x1 0.757 0.279 2.71 0.030 232 x2 7.52 4.01 1.87 0.103 216 x3 2.48 1.81 1.37 0.212 1,34 x4 -0.481 0.555 -0.87 0.415 1.01 Analysis of Variance Source DF Seg SS Seg MS F-Value P-Value Regression 4 5600.5 1400.1 10.08 0.005 Error 972.5 138.9 Total 11 6572.9 Then, an estimate of the error variance is equal to a. 157 b. 6572.9 C. 972.5 d. 138.9 e. 0.005 The electric power consumed each month by a chemical plant is…
A vending machine company operates coffee vending machines in office buildings. The company wants to study the relationship between the number of cups of coffee sold per day and the number of persons working in each building. Data were collected were collected by the company and presented below. Number of Number of Cups of f. Make a copy of the scatter diagram in this item. Draw the line that best fits in the scatter diagram using the regression equation. persons Coffee Sold working at Location g. Locate the (X,). Describe its location in relation to the other plotted data. 15 20 10 15 h. Give a practical interpretation of the values of a and b. 16 20 i. Show that the regression equation can be expressed in the form: (y - y) = b(x - x) 18 25 22 30
Can you plz answer this as soon as possible.
The table shows the average weekly wages (in dollars) for state government employees and federal government employees for 8 years. The equation of the regression line is y = 1.493x - 83.403. Complete parts (a) and (b) below. A Average Weekly Wages (state), x Average Weekly Wages (federal), y 764 1003 766 1048 791 1119 (a) Find the coefficient of determination and interpret the result. r² = 0 (Round to three decimal places as needed.) 800 1152 843 1201 887 1250 924 1277 939 1306
Explain why it is not a good idea to exclude an intercept, b0 , from any linear regression model?