Which best describes the slope of the trendlinepictured?U.S. Milk Consumption 1980-20056,5006,4506,4006,3506,3005 6,2506,2006,1506,1006,050|y 2.2132x + 1912.56,000198019851990199520002005YearMilk consumption was increasing by about2.2132 million gallons per year from 1980 to2005.Milk consumption is up 2.2%.Americans drink 333.52 gallons of milk peryear.Milk consumption is 333.52 million gallons.Millions of Gallons

Answered: Which best describes the slope of the…

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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The following table shows the percentage of people 25 years and older who have completed four or more years of college. Use the line of best fit (regression line) to predict when (what year) the percentage will reach 49%. Round the slope and y-intercept to four decimal places, if necessary. Year 1985 1990 1995 2000 2005 2010 Percentage 19.4 21.3 23.0 25.6 27.6 29.9
Year 1955 1958 1960 1961 1962 1965 1968 1975 1980 1986 1990 Rabbit population 650 2180 5300 8200 12400 35500 66300 91600 92900 92800 93100 a. Do you think this model will work for a portion of the data? If so, which portion? Explain. b. Create a model using y=c(e)kx to fit this portion of the data. c. Find an equation for the rate of change for your model.
Use the gas prices data set below to calculate a 3-month Weighted Moving Average (WMA) forecast for the average gas prices and predict the average retail gasoline price for February 2015. Use the weights of 0.6, 0.3, and 0.1 for the 3-month WMA, where the first weight is used for the most recent month and the last weight is used for the least recent month. Round your answer to two decimal places, if necessary. Month-Year Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Average Gas Price $3.766 $3.688 $3.565 $3.484 $3.255 $2.997 $2.632 $2.208 Copy Data
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The table lists the cost in millions of dollars for a 30-second commercial for selected years. Year 1994 1998 2004 2008 2011 Cost 33.7 34.2 35.0 35.5 35.9 a. Find a linear function f that models the data. b. Estimate the cost in 2010 and compare the estimate to the actual value of $36.6 million. Did your estimate involve interpolation or extrapolation? a. Use linear regression to determine the equation of the line that best fits the data. The linear function is f(x) = (Type an expression using x as the variable. Use integers or decimals for any numbers in the expression. Round to three decimal places as needed.)
Answer questions below show your work
Fit a linear regression model for the following data.
in regression analysis in population is associated with a decrease in crime rate the relationship has SSR of 250 and SST of 440. That percent of the crime rate is determined by the size of population? a. 76% b. 24.89% c. 56.82& d. 75.38% e. 43.18%
The figure below shows a particle's distance from a point as a function of time, t. What is the particle's average velocity from t = 0 tot = 3? distance (meters) s(t) 3 1 t (sec) 2 Round your answer to the nearest integer. The particle's average velocity from t = 0 tot = 3 is i meter(s)/sec.
Graph the scatterplot and find the equation of the regression line GDP. CO2 emissions (in millions metric tons) 1.7. 552.6 1.2. 462.3 2.5. 475.4 2.8. 374.3 3.6. 748.5 2.2. 400.9 0.8. 253.0 1.5. 318.6 2.4. 496.8 5.9. 1180.6
What percentage of the variation in infant mortality rate is explained by this model? Based on the results of the ANOVA table, is this a good model and why or why not? Is the relationship between percentage of GDP spent on healthcare and infant mortality rate statistically significant? What is the direction of the relationship? For each one percent increase in percentage of GDP spent on health care, we would expect the infant mortality rate to ________ (increase or decrease) by _____.
What is the slope? - 27.6909 What is the intercept? -445.0372 Write the regression equation. -Yˆ=445.0372+27.6909X Calculate a regression forecast for month 25. *need the last question

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