1:.VA moodle.unizwa.edu.omالوقت المتبقي 0:32:35اQ1. [6 points] : From the following data set[23.6.611161 find correlation coefficients2. Estimate the simple linear regression model3. Find the predicted value of y when x-10Q2. [6 points] The weekly wages workmen are normally distributed around a mean of R.O. 70with a SD. of R.O. S. Find the probability of workers whose weekly wages will be@ between R.O. 69 and R.O. 72,(mless than R.O. 69,(m) Find the value of K such that P(X K) =0.3400 01 02 03 04os06 070160 0199oss7.06750714O753091009481064.1141O 17904154os1915.1217-1255.1293.1.368.14061443.1460.1517.1700201415911626.1736.17722123.1879.1950229121902224254919852019208821572324235724222704 273423092425170.72580261129102642293932122673276430512794202331062995326431313365 35893599 362138302967302330780.93159323631153340353134131. 364312341034303461346535543577366536 7on 379 37493493770379031038493925 394439973869A04939073962A015A177A0664222A357A115A131A14741621441921.543321.6 44521.7 ASS418 464119471320 A77221 A2122 406123 49324 4918A2074236425A2654292430643194370A4294535 4545AG25 A633A345AM2 A94A418452544744464A95 A50sAS05ASISASGAAS73A582AS91 4599AGOBAG16A6494656A719 A4726A664 467147324700A670A738 A4444994700AT50A75647614767ATTSA7904812 4817A826A830A834A3 A842AS46A8S4 48574871 A875 AS76 AS81As4491349344951190149044916A920492249254927 A929 4931 49324936A3404949A540ASSS4341.49432649532.7 4965494543464959 A96O4952496449744957496349734962496749604969A9704972282.9 49813.0 A987 A987A974497649774977ASTO49794980A962A5824963494 A04A98549064987 49e4990 49904999A923.1499032 A99 499 4994 49433 4 A9 A9s A99634 A997 AI97 A997 A997 A997 A97 A9 9 A97 me3.5 40 A9 4 A990 Aa A Ae 4 4e A9903.6| A99 A99 499e A9994991A9914991A2 Am2A94 AAA99249934993أقصی حجم ل لملف: 0 بایت، الحد الأقصی لعد د1:CLII IIإنهاء المحاولة .(Part I+Part II (STAT101 Final Exam

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Answered: 6. 11 6. 16 1.find correlation…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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5. A researcher measures how positive a person's mood is and how creative he or she is, obtaining the following interval scores. (a) Calculate the linear regression equation. (b) What is the predicted (Y') creativity score for anyone scoring 3 on mood? (c) What is the standard error of the estimate? (d) Interpret the standard error of the estimate for this relationship. Participant Mood X Creativity Y 110728639114645556377748 259 46 10 14
9. The final score (Y) of students in a course was correlated with score (CX) in entrance test. The relevant data in coded units are as follows: Y: 2 8 5n 4 2 X: 6. (a) Obtain the lincar regression equation of Y on .X. (b) Obtain the correlation coefficient and interpret it. (c) Predict Y when X = 4. If the predicted value is different from the observed value of 6. Explain the reasons for the difference.
The image contains two graphs typical of the analysis of a simple linear regression model. It can be stated that: a. The variance of the errors seems constant b. The errors do not come from a normal distribution c. The linear model does not seem appropriate d. The residuals are close to the line and therefore there is normality in the data. Why? Thanks
q12
11. The National Oceanic and Atmospheric Administration tracks the amount of oysters harvested from the Chesapeake Bay each year. Years since 1900 10 20 43 52 84 89 Oysters (metric tons) 36 20.6 9.24 8.22 2.73 2.25 a) Is there a correlation? If so, describe the shape and strength. If no correlation, go on to #12, if there is a correlation, complete the parts below. b) The regression equation that describes this: c) Based on this, how much was harvested in 1931? d) What does x = 60 represent? e) Find the value of f(x) when x = 60 What does this mean in context?
1.64 and 1.63 is incorrect please help ()()))
8. In an investigation to empirically determine the value of 1, a student measures the circumference and diameter of several circles of varying size and uses Excel to make a linear plot of circumference versus diameter (both in units of meters). A linear regression fit yields the result of: y = 3.1527x - 0.0502, with R2= 0.9967 for the 5 data points plotted. How should this student report the final result? Does the empirical ratio of C/D agree with the accepted value of n?
27. What percentage of the variability is accounted for by the regression model?A. 1% B. 2% C. 98% D. 99%28. Is there a linear relationship between the dependent variable and the independent variables?A. Cannot be knownB. MaybeC. NoD. Yes29. What will be the value of y if x = 0?A. -12.87 B. -0.08 C. 0.70 D. 0.99
7
3. Suppose that the following import function for Turkey is estimated for Turkey between 1980-2015. Import, a, + a,GDP; + ażER¸ + ut In order to measure the impact of 2001 crisis the regression is estimated based on the whole and two subsamples and the following RSS are obtained. Time period: 1980-2000 , RSS1= 69 Time period: 2001-2015, RSS2 =35 Time period: 1980-2015 , RSS = 160 Carry out the Chow test whether the regressions for the two periods are different at 5% significance level. (35 P)
3. Find the equation of the regression line for the data and graph the scatter plot for the data No of ads (x) Sales (y) 2 5 8 8 10 12 2 4 7 9 10 Find yl at x = 47 ads
26. For the following scores: X 3 5 2 2 4 1 4 Y 8 8 6 3 6 4 7 a. Find the regression equation for predicting Y from X. b. Calculate the predicted Y value for each X.

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6. 11 6. 16 1.find correlation coefficients 2. Estimate the simple linear regression model 3. Find the predicted vahue of y when x-10