StatKey Descriptive Statistics for Two Quantitative VariablesCustom DatasetShow Data TableEdit DataUpload FileChange Column(s)2000Summary Statistics Switch VariablesStatisticmedianhouseholdincome casesper100kMean65057.304652.217Standard150011542.583435.999DeviationSample Size23Correlation-0.115Slope-0.00441000Intercept935.699Scatterplot ControlsShow Regression Line5000.45000500005500060000650007000075000800008500090000medianhouseholdincomecasesper100k 1. Using the scatterplot you constructed, do there appear to be any outliers (if you find thatthere are outliers give their values (x and y coordinates).2. Find the correlation coefficient (give the appropriate symbol and the value)Symbol =value =3. Interpret the correlation coefficient in context of the problem.4. Find the regression equation. Give the slope and the y interceptY intercept,Slope =equation:5.Interpret the Y intercept in context. If you feel y intercept doesn't make sense in this caseexplain why.6. Interpret the slope in context.7. Using the scatterplot find the data point that appears to have the largest positive residual(give the x and y coordinate)X= Y=8. compute the residual for the data point you found in #7.Residual =Show work9. List a possible confounding variable and explain why you believe it is a confounding variablePart 2Using the same set of data, create a bootstrap distribution (with 1000 samples) using thesample as your original bootstrap sample. (note: you will need to upload the data again for thebootstrap distribution)10.What does each object in your bootstrap distribution represent (be specific include theappropriate symbol)11. using the bootstrap distribution, create a 90% confidence intervalinterval is12. What parameter are you estimating? (indicate what the parameter represents in contextand be sure to include the appropriate symbol- see introduction for how to represent symbols13. Interpret the interval in context.14.Using this interval, can you make any conclusions as to whether the value of your parameteris positive, negative or 0). Explain your answer for credit

Given : “Since you have posted a question with multiple sub-parts, we will solve first three sub…

000 Summary Statistics Switch Variables Statistic medianhouseholdincome casesper100k Мean 65057.304 652.217 Standard 500 11542.583 435.999 Deviation Sample Size 23 Correlation -0.115 Slope -0.0044 000 Intercept 935.699 Scatterplot Controls O Show Regression Line 500

000 Summary Statistics Switch Variables Statistic medianhouseholdincome casesper100k Мean 65057.304 652.217 Standard 500 11542.583 435.999 Deviation Sample Size 23 Correlation -0.115 Slope -0.0044 000 Intercept 935.699 Scatterplot Controls O Show Regression Line 500

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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Hw03's csv file attached below.please answer for Question 2 and Question 3
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Dear tutor kindly help me your help will be appreciated