1. Using a data set with 4 predictor variable data set, an analyst decided to use regressionas model to fit the data and explain the response variable. Using all the data he determinedthe following regressionŶ = bo + b₁X₁ + b₂X₂ + b3X3 + b4X4 + b5X5He then determined a scatter plot matrix and the scatter between X5 and Y resulted in thescatter plot below.100200 1.4. If the following observations of X5 were taken, show which values will now be used inthe regression?18.2511428.50311.501.7.1. What can you deduct from this plot?1.7.2 What remedy will you propose?41.6. There is a question whether X4 is contributing in explaining the variation of the meanresponse. How can we establish this formally?10.251.7. Let us assume that question 1.6 confirmed that the predictor X4 was not necessary.Then the following plot was created using the data and the fitted regression line.Y = bo + b₁X₁ + b₂X2 + b3X3 + b5X5'

1.4) If the following observations of X5 were taken, we need to show which values will be used in…

Answered: 1.4. If the following observations of…

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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Answer the questions based on the following data table. What is the value of the correlation coefficient (r) between the variables? (round to 2 decimals) How much of the variation between the variables is explained by the regression model (R-sqr)? (round to 2 decimals) How far off (std error) will the regression model typically be in predicting y? At what level is the regression statistically significant (i.e.,Sig.F)? decimals) What is the slope (coefficient of x) of the linear regression equation? 2 decimals) What is the y-intercept of the linear regression equation? (round to 2 If given an x value of 3.6, what value of y does the regression equation predict? (round to 2 decimals) (round to (round to 2 decimals)
Answer it correctly and explain well.Typed answer only. Do it fast.
The line of best fit through a set of data is ý = 38.241 – 1.827r According to this equation, what is the predicted value of the dependent variable when the independent variable has value 20? y = Round to 1 decimal place.
You may need to use the appropriate technology to answer this question. Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. Analysis of Variance SOURCE DF Adj SS Adj MS Regression 1 1575.76 1575.76 Error 8 349.14 43.64 Total 9 1924.90 Predictor Coef SE Coef Constant 6.1092 0.9361 X 0.8951 0.1490 Regression Equation Y = 6.1092 + 0.8951 X #1) Write the estimated regression equation. ŷ = #2) Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.) #3)Use the estimated regression equation to predict monthly maintenance expense (in dollars per month) for any terminal that is used 15 hoursper week. (Round your answer to the nearest cent.) $ _____per month
If the linear correlation between two variables is negative, what can be said about the slope of the regression line? ..... Choose the correct answer below. A. More information is needed B. Negative C. Positive
1. Correlation analysis is used to determine the equation of the regression line b. a specific value of the dependent variable for a given value of the independent variable the strength of the relationship between the dependent and the independent variables d. a. с. None of these alternatives is correct.
8. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r and SS, to compute SS standard error of estimate for the equation. and the residual Y 3 3 6. 9. 8 4 3 7 10 9.
5. For the following set of data: Y 1 10 5 4 4 13 a. Find the regression equation for predicting Y from X. b. Does the regression equation account for a significant portion of the variance in the Y scores? Use a = .05 to evaluate the F-ratio %3D X27 33
The beta of a stock has been estimated as 1.4 using regression analysis on a sample of historical returns. A commonly-used adjustment technique would provide an adjusted beta of A. 1.32. B. 1.13. C. 1.0. D. 1.27.
Aims and objectives of gender pay gap report writing in uk
The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, ŷ = bo + b₁x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.05 level of significance. Critical Values of the Pearson Correlation Coefficient Average Temperature (°F) Average Temperatures and Snow Accumulations 42 31 24 45 38 18 33 21 25 9 12 27 7 15 22 30 13 20 37 Snow Accumulation (in.) 8
12. measures the strength of the relationship between the dependent and independent variables. 13. One way to examine whether two variables might be linearly related is to construct a 14. The assumption of equal standard deviations about the regression line is called

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