The table below shows the population of a fictional California Gold Rush Town named Lehi in the yearsafter its peak population in 1880.Year188018901900191019201930Population8100340223491556681312For the purpose of this problem, let P represent the population of Lehi t years after 1880 (t=0represents 1880). The new table is:1020304050P(t)8100340223491556681312Use your calculator to determine the exponential regression equation that models the set of data above.Round the "a" value to two decimals, and round the "b" value to two decimals. Use the indicatedvariables and proper function notation.P(t) =Based on the your regression model, what is the percent decrease per year?Find P(55). Round your answer to the nearest whole number.P(55) =Interpret your answer by completing the following sentence. Be sure to use units in your answer.%3D"The population of Lehiafter 1880 was aboutHow long did it take for the population of Lehi to reach 270 people? Round your answer to the nearestwhole number.P(t) = 270 when t =Interpret your answer by completing the following sentence. Be sure to use units in your answer.Inafter 1880, the population of Lehi was aboutHow long did it take for the population of Lehi to drop by half? Round your answer to the nearest wholenumber.P(t) has halved when t =%3D

Answered: Image /qna-images/answer/85b267b4-5f57-4f82-9c26-1a66879cdaa8.jpg

Answered: Use your calculator to determine the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210 200 190 180 170 160 150 Year 0 130- 120- 110- 100- 90 801 6 12 15 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 3 6 9 12 15 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. The function is not a good model for the data Estimate the retails sales in the U. S. in 2015. billions of dollars.
Use linear regression to find the equation for the linear function that best fits this data. Click Read Button For online regression calculator. Round both numbers to two decimal places. Write your final answer in a form of an equation y=mx+by=mx+b x 1 2 3 4 5 6 y 74 90 109 123 143 155
A teacher wants to form a linear regression equation to predict a student's Score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 %3D What does the slope mean in terms of the situation? O For each additional hour a student studies, their grade on the final increases by 2%. O For each additional 2 hours a student student studies, their score on the final increases by 1%. O Every hour a student studies, increases their score on the final. O Always choose C. O The more a student studies, the better they will do on the final.

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