You may need to use the appropriate appendix table or technology to answer this question.Given are five observations collected in a regression study on two variables.* 26 i3 20Y7 19 7 27 21Develop the 95% confidence and prediction intervals when x 10. (Round your answers to two decimal places)10.02420confidence intervalX to 2248prediction intervalx to 30.00Explain why these two intervals are different.The two intervals are different because there is more variability associated with predicting an individual value than there is with estimating a mean value.The two intervals are different because there is les variabity associated with predicting an individual value than there is with estimating a mean value.O The two intervals are different because you use a different oritical value when developing a confidence interval than when developing a prediction interval.O The two intervals are different because confidence intervais are used to predict values of Afor new observations corresponding to given values of x, and prediction intervals give an estimate ofthe mean value of y for a given value of .Need Help?eadiSubmit Answwor

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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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Listed below are the amounts of net worth (in millions of dollars) of the ten wealthiest celebrities in a country. Construct a 95% confidence interval. What does the result tell us about the population of all celebrities? Do the data appear to be from a normally distributed population as required? 257 215 198 175 159 153 153 153 150 148 What is the confidence interval estimate of the population mean µ? million < µ<$ million (Round to one decimal place as needed.)
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Match to the appropriate answer. You will not use all options and you may not use each option more than once. 1 Dummy variable 2 Coefficient (beta) 3 Correlation coefficient 4 Heteroscedasticity 5 p-value 6 R2 7…
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Import the data from the Hill City Excel file into Minitab.You are trying to predict Price.Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each.5. Run the residual plots and indicate if they show any problems with the model.
Step 2 (b) Which of the two intervals conveys more precise information about the value of the population proportion? Recall that a smaller standard error of results in a narrower confidence interval. A narrower confidence interval is then more precise. The width of Interval 1, (0.27, 0.35), is 0.35 0.27 = and the width of Interval 2, (0.30, 0.34), is 0.34 -0.30 = Submit Skip (you cannot come back) Therefore, --Select--- is the narrower and more precise interval.
the light and build a 95% confidence interval on the proportion of English soccer fans believing that Liverpool will win the 2019-2020 title. If needed, give the exact Excel formula allowing to compute the confidence interval. Question 5 You have a sample of 223 observations about the daily returns of a company called VA and of an index fund called IND. The table below provides some partial results about a simple linear regression in which VA is the dependent variable and IND is the independent variable. The fitted regression model is: VA = bo + bị* IND. Explain and justify clearly your answer to each question. Give the numerical value when possible. Coefficient Standard Error Upper 95% Test Estimate Statistic Lower 95% Intercept 0.0000584 Q1 0.052 -0.0021549 Q3 Slope 92 0.0555300 30.581 오4 1) What is the value that should appear in the cell with the label Q1? 2) What is the value that should appear in the cell with the label Q2? 3) What is the value that should appear in the cell with…
A data ninja has created a multiple regression model. There are 3 independent variables in the model. The variables and their P-values can be found in the table below. Independent VariableP-ValueX1: Advertising0.142X2: Social Media0.006X3: Coupons0.071 QUESTION: Study the P-Values. At 90% confidence level, which independent variable(s) can be proven significant in the model? Group of answer choices X3 only X1 only X2 only X2 and X3
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1. If we choose the significance level α=0.05, is Gender a significant factor in explaining Salary? Explain. 2. Use Excel’s Data Analysis tool to conduct a multiple regression, using Salary as the dependent variable, and all the rest of variables as independent variables.(Choose confidence level at 95 %.) 3. Based on the multiple regression analysis output, write the estimated regression equation. (Keep 2 decimal places) Salary Gender Years Of Service Years Of Education 52,100 0 5 13 55,015 0 20 13 55,520 0 23 12 43,430 0 7 12 43,813 0 5 12 51,903 0 6 12 54,580 0 24 14 54,913 0 18 12 52,100 0 29 12 50,693 0 14 12 47,878 0 10 12 46,555 0 6 14 47,878 0 7 16 47,878 0 9 12 54,913 0 16 13 50,123 0 4 13 50,693 0 20 12 48,933 0 29 12 58,270 0 12 12 50,538 0 5 13 48,933 0 12 12 45,078 0 5 12 47,878 0 5 14 53,508 0 24 12 42,250 0 1 16 53,508 1 8 15 42,250 1 3 15 47,808 1 1 13 50,180 1 11 13 44,163 1 9 10 41,718 1 3 10 47,878…
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