The number of rushing yards per year by a running back af a team has increased approximately linearly from 1840 in 2003 to 24 yards in 2008. Let r be a players number of rushing yards in the year that is t years since 2000. find an equation of the linear model to describe the data?

A $25,000 machine depreciates linearly to 0 over a 10 year period. What is the valye of the machine after 5 years? Select one: O 7500 O 17500 12500 10000 15000

Arman is saving his money. On day 3 he has $110. On day 5 he has $150. What would be equation of a linear model for his saving. Assuming y represent his saving in $ and x is number of days .

The graph shows the number of students enrolled in public colleges for selected years (Source: U.S. National Center for Education Statistics, www.nces.ed.gov). The x variable represents the number of years since 1990 and the y variable represents the number of students (in millions). a. Use the points (4, 11.2) and (14, 13.0) to write a linear model for these data. b. Interpret the meaning of the slope in the context of this problem. c. Interpret the meaning of the y-intercept in the context of this problem. d. In the event that the linear trend continues beyond the last observed data point, use the model in part (a) to predict the number of students enrolled in public colleges for the year 2020. Number of Students Enrolled in Public Colleges 20 15 10 (14, 13.0) |(4,11.2) 10 15 20 25 Year (x = 0 represents 1990) Millions

Part 3 of 5 (c) Use the data points (4, 1.4) and (28, 2.6) to find an equation of the line through these points. Express numbers as decimals or integers. Write the answer in slope-intercept form (y=mx+b). The equation is 0=0 Ś X

I don't know how to find the slope?

write a linear equation for this: "Baden, the health authority's chief financial officer stood by the veracity of that initial timeline Wednesday. He said state officials were hoping to see 200,000 to 250,000 first doses administered per week."

Please urgent

Use linear regression on your calculator to find the equation of the linear function that best fits this data. 1 3 4 5 6 y 84 110 139 170 180 222 = mx + b. Round all numbers to 2 decimal Hint: Write your final answer as an equation in the form y places.

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