The table gives the amount of money (in dollars) spent on football by a major university. Letting xrepresent the number of years since 2006, and letting y represent the amount of money spenton football, in thousands of dollars, use the regression capabilities of a graphing calculator to findthe equation of the line of best fit.Round values off to the nearest hundredth.Then, use your equation to make the following predictions.Year2006Dollars spent on football 173,000The equation of the line of best fit is:Hint2009201020112007 200819 000 210,000 223,000 243,000 271,000Predict the amount of money that will be spent on football in the year 2022.Predict the amount of money that will be spent on football in the year 2041.

Given: Where, Independent variable(x)= YearDependent variable(y) = Dollars spend on football Here x…

Answered: The table gives the amount of money (in…

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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8. Egg production in the United States was 12936.8 million pounds in 2016 up from 9074.4 million pounds in 1996. Assume that the increase is linear. Write a formula for the situation. round values to thousandths. Define variables as Y = Years since 1996and E = Eggs in ? of pounds a. Formula: b. Use your formula and algebra to complete the sentence: The number of eggs produced will surpass 14000 million in the year
This table shows the systolic blood pressure of y, patients x years old. state the slope and interpret the meaning in the context of this problem.
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The accompanying data represent the yearly amount of solar power installed (in megawatts) in a particular area from 2000 through 2008. The trend forecasting equations below were found, where X is the number of years after 2000. Complete parts (a) through (d) below. = -10.711 +28.9000X₁ ₁ = 22.70 +0.259X; +3.5801X? Click the icon to view the data table. a. Compute the standard error of the estimate (Syx) for each model. Linear Quadratic Syx 22.431 8.032 (Round to three decimal places as needed.) b. Compute the MAD for each model. Linear Quadratic MAD 64.222 66.873 (Round to three decimal places as needed.) c. On the basis of (a) and (b) and the principle of parsimony, which forecasting model would you select? The model with the smallest values of Syx and MAD should be used, which is the quadratic model.
A car initially sold for $23,999. Its class life is 12 years, and the car depreciates by $750 each year. Express this as a linear function. Find the salvage value. Then, find the value after six years.
la. Make a scatter plot of the table provided in the image. B. Write a linear/exponential equation that models this table provided in the image. C. Explain what the slope/multiplier means in the context of the problem. D. Use your model to predict when there will be 100 new cases I have already made a scatter plot so I mainly need help with questions B, C, and D. Thank you for your help!
Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y= mx +b X y 1 92 2 110 4 5 3 139 160 171 6 196
Use a linearization, or differentials, to approximate the value of 3sqrt7.95 see image
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is S(t) = 9.44t + 84.182. 220 210- 200 190 180 170- 160 150 140 130 120 110 100 90 12 804
The equation of the trend line is P = 2001284(1-0.04)t. predict the population of the country in 1994. Include units. Round to the nearest whole number.
Music camp enrollment during summer 1995 was 184 students. Over the years, the camp became more popular and in 2013, the enrollment had increased to 1,318 students. Assuming this increase was linear, calculate the rate at which the enrollment had increased. The rate at which the enrollment had increased is____students per year.
In 1960, there were 242,900 immigrants admitted to a country. In 2005, the number was 1,011,507. a. Assuming that the change in immigration is linear, write an equation expressing the number of immigrants, y, in terms of t, the number of years after 1900. b. Use your result in part a to predict the number of immigrants admitted to the country in 2013. c. Considering the value of the y-intercept in your answer to part a, discuss the validity of using this equation to model the number of immigrants throughout the entire 20th century. a. A linear equation for the number of immigrants is y=. (Type your answer in slope-intercept form. Type an expression using t as the variable. Use integers or decimals for any numbers in the equation. Type an integer or decimal rounded to two decimal places as needed.)

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