1.46.5686817778629261111Use exponential regression to find an exponential function that best fits these data. Round all values to thehundredths.f(x) =Use linear regression to find a linear function that best fits these data. Round all values to the hundredths.g(x) =%3DOf these two, which equation best fits the data?O LinearExponential

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2 3 4 5 568 681 777 862 926 1111 Use exponential regression to find an exponential function that best fits these data. Round all values to the hundredths. f(a) = Use linear regression to find a linear function that best fits these data. Round all values to the hundredths. g(=):

2 3 4 5 568 681 777 862 926 1111 Use exponential regression to find an exponential function that best fits these data. Round all values to the hundredths. f(a) = Use linear regression to find a linear function that best fits these data. Round all values to the hundredths. g(=):

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 17HP

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Special Rounding Instructions When you perform logistic regression, round the r value to three decimal places and the other parameters to two decimal places. Round all answers to two decimal places unless other-wise indicated. African Bees There are 3600 commercial bee hives in a region threatened by African bees. Today African bees have taken over 50 hives. Experience in other areas shows that, in the absence of limiting factors, the African bees will increase the number of hives they take over by 30 each year. Make a logistic model that shows the number of hives taken over by African bees after t years, and determine how long it will be before 1800 hives are affected.
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?
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