This graph shows data on income and happiness from a sample. The fitted linear is based on a linear regression of happiness on income. According tothis graph, which of the following is true? (Select all that apply.)happinessоооо6-+2-0-incomeThe slope of the regression line is negative.There is a positive relationship between income and happiness.More income causes more happiness.As income increases, people tend to be happier.

The scatterplot shows the data on income and happiness.

Answered: This graph shows data on income and…

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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Please help, this is for financial mathematics, thank you so much!!!!
Use the scatterplot of Vehicle Registrations below to answer the questions Vehicle Registrations in the United States, 1925- 2011 Vehicles millions 300 y = 3.0161x - 5819.5 R? = 0.9695 250 200 150 100 50 1920 -50 1940 1960 1980 2000 2020 Year Write a sentence explaining the value of the slope for this regression line. For every increase in year, the number of vehicle registrations in the US increases by 3.0161 million. For every increase in year, the number of vehicle registrations in the US increases by 5819.5. For every increase in vehicle registrations in the US, the number of years increases by 5819.5. For every increase in vehicle registrations in the US, the number of years increases by 3.0161 million. Registrations (in millions)
6. The table below shows varying prices of music sold on a streaming service. Determine the linear regression to estimate the price of albums sold, use your regression to estimate the price of albums sold if 300,000 albums are selling each week and state the coefficient of determination, r², and interpret its meaning in the context of this problem. Weekly sales (in thousands) Price ($) 440 $8 380 250 180 $8.50 $10 $11.50
Simple linear regression model helps to adjust out the effects of confounding factors in a statistical analysis. A. TrueB. FalseC. None of the above choices
i need computerized perfect solution not handdwritten
What is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.
For the data set below, create a linear regression and a two-domain (two-part) piecewise static (stairstep) model. Which is a better fit? Defend your answer. Samples = (1, 59), (2, 61), (3, 63), (4, 53), (5, 43), (6, 44), (7, 40), (8, 39), (9, 37), (10, 37)
The table shows the approximate chirping rate at various temperatures for one type of cricket. Use the linear regression feature on a graphing calculator to determine an equation of the line that best fits the data. Round to the hundredths. ⒸEncikAn/Shutterstock.com X Temperature (°F) 50 60 70 80 100 Chirps per Minute 20 80 115 150 250
6
XLMiner Analysis ToolPak A В D G K M N P 1 Salesperson Years of Experience Annual Sales ($1000s) 78 SUMMARY OUTPUT 2 3 Anova: Single Factor Regression Statistics Multiple R R Square Adjusted R Square Standard Error 3 3 96 4 3 5 88 0.907961759 Anova: Two-Factor With Replication 4 4 107 0.824394555 6 5 6 105 0.802443875 Anova: Two-Factor Without Replication 7 7 116 8.072755139 8 7 10 123 Observations 10 Correlation 9 8 117 Covariance 10 9 10 122 ANOVA 11 10 14 139 df SS MS F Significance F Regression Descriptive Statistics 12 1 2447.544996 2447.544996 37.55667406 0.000280582 13 Residual 8 521.3550043 65.16937553 Total 9 2968.9 Exponential Smoothing 14 15 F-Test Two-Sample for Variances 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95% Upper 95% Intercept Years of Experience 4.575705731 0.746645624 6.128350028 0.000280582 2.853937836 6.297473627 2.853937836 6.297473627 17 76.61248931 5.883832818 13.02084741 1.14813E-06 63.04434651 90.18063211 63.04434651…
B-4 A toy store manager would like to know how the price can affect the sales of toys. In his data, he obtained 100 pairs of prices (unit: £) and volume of sales (unit: hundreds) for the toys. A simple linear regression was run with Sales as the dependent variable and Price as the independent variable with the following results. Regression Statistics R Square Adj. RSqr StErr of EST 0.876 0.767 0.701 4.184 Summary Table Variable Coeff. Std. Err Intercept 64.742 11.310 Price -2.645 0.602 (a) Write down the estimated regression equation. Explain this regression equation. (b) What's the value for R Square? Explain the meaning of this value. (c) Test the significance of the model at a=0.05 level. Write down the hypothesis you are testing, the statistic you use to evaluate the test, and your conclusion. (d) Use the regression output to construct a 99% confidence interval for the predicted sales when the price is set to be 15. (e) A colleague in the toy store claims that £1 increase in the…
Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lap

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