(Excel or MATLAB) The U.S. population in selected years between 1815 and 1965 is listedin the table below.Year181518481875190919371965Population 8.119.344.483.6128.1190.9(millions)(a) Compute the straight line equation that best fits the data.(b) Bu using a computer software, determine a quadratic equation P = a₂t² + a₁t + a thatbest fits the data where t is the number of years after 1800 and P is the population in millions.

When we want to predict the value of one variable, say y, from the given value of another variable,…

Answered: (Excel or MATLAB) The U.S. population…

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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3. please answer this . Use the model found above to answer this question. What is the estimated revenue of Amazon in 2049? billion US dollars. Round to the nearest billion US dollars.
The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54
Make a scatter plot of the data and determine which type of model best fits the data. linear quadratic exponential cubic
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C) if a country increases its life expectancy, the happiness index will increase or decrease d) if the life expectancy is increased by 4.5 years in a certain country .how much will the happiness index change? Round two decimal places e) use the regression line to predict that happiness index of a country with a life expectancy of 89 years . Round to two decimal places use the space below to type your answers
Pls help. Pls do all parts pls i beg.
Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 40 R² = 0.9302 à 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year What is the independent variable and what does it represent? Year Percentage Income in dollars CO2 Percentage
Timber yield is approximately equal to the volume of a tree, however, this value is difficult to measure without first cutting the tree down. Instead, other variables, such as height and diameter, may be used to predict a tree's volume and yield. Below is data on diameter (inches), height (feet), and volume (cubic feet) diameter height volume 18 80 51.5 8.3 70 10.3 11.2 75 19.9 13.3 86 27.4 12.9 85 33.8 11.7 69 21.3 20.6 87 77 11.4 76 21.4 17.9 80 58.3 13.7 71 25.7 16 72 38.3 10.7 81 18.8 10.8 83 19.7 16.3 77 42.6 12 75 19.1 13.8 64 24.9 10.5 72 16.4 17.3 81 55.4 11 75 18.2 11.4 76 21 8.8 63 10.2 14.2 80 31.7 Develop a regression model to use diameter and height to predict volume. Report the adjusted R-squared. Blank 1. Fill in the blank, read surrounding text.
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Take a look at this reference sheet: http://bit.ly/2yGbKiB The scatter plot shows the number of hits and number of home runs for $$20 baseball players who had at least $$10 hits last season. The table shows the values for $$15 of those players. The model represented by y=0.15x−1.5 is graphed with the scatter plot. Player B was the player who most outperformed the prediction. How many hits did Player B have last season?
A pair of dice is rolled 210 times. What is the probability that a total of 7 occurs (a) at least 24 times? (b) between 38 and 48 times inclusive? (c) exactly 35 times? Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table.
The cost of a flight is related to the distance traveled: Miles Cost ($) 225 38.5 525 76.1 1,100 119 1,375 142 1,950 200 2,250 244 a)Graph the scatter plot on your calculator. Is the data linear, quadratic, or exponential? b) Use the appropriate regression to find the equation of best fit. c) Use your model to predict the cost of a flight that travels 800 miles? Is this interpolation or extrapolation? d) Use your model to predict the cost of a flight that travels 3000 miles. Is this interpolation or extrapolation?

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