A paper gives data on x = change in Body Mass Index (BMI, in kilograms/meter) and y = change in a measure of depression forpatients suffering from depression who participated in a pulmonary rehabilitation program. The table below contains a subset of thedata given in the paper and are approximate values read from a scatterplot in the paper.BMI Change (kg/m²)1 1.51.1| 1 0.2 0.20.5 -0.5 0 0.1 0.7 0.8Depression Score Change -144.6131417181214The accompanying computer output is from Minitab.Fitted Line PlotDepression score change = 7.200 + 4.789 BMI changee =7.205.3875621.90%R-SqR-Sq (adj) 14.09%15-10-0.50.00.51.01.5BMI changeR-aq5.3875621.904CoefficientaTermCoefSz Coef7-ValueP-ValueVirConstant7.2002.213.260.0086BMI change4.7892.861.670.12491.00Regression EquationDepression score change = 7.200 + 4.789 BMI change(a) What percentage of observed variation in depression score change can be explained by the simple linear regression model?(Round your answer to two decimal places.)Depression score change (b) Give a point estimate of o. (Round your answer to five decimal places.)Interpret this estimate.s is the typical amount by which the -Select--value -Select-]what is predicted using the least squaresregression line.(c) Give an estimate of the average change in depression score change associated with a 1 kg/m? increase in BMI change. (Roundyour answer to three decimal places.)(d) Calculate a point estimate of the mean depression score change for a patient whose BMI change was 1.2 kg/m². (Round youranswer to three decimal places.)

here as per guidelines i have calculated 3 subparts plz repost with note i need this this... here…

Answered: (b) Give a point estimate of a. (Round…

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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Proposed regression line: y ̂=5.4+(2.6)x n=4 Sum of squared deviations: ∑(??−?ℎ???)2∑(yi−yhati)2 = 25.2 Sums of squares: ∑(??−????????)2∑(yi−averagey)2 = 59 ∑?2?−?(????????)2∑xi2−n(averagex)2 = 5 Questions: (Enter answers rounded to one decimal place. If appropriate, include a zero before the decimal point) 1. What is ???Syx? 2. What is ??1Sb1? 3. What is SST? 4. What is SSE? 5. What is ?2R2?
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Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value t,/2, (b) find the critical value z/2, or (c) state that neither the normal 40- distribution nor the t distribution applies. 30- The confidence level is 95%, o is not known, and the histogram of 58 player salaries (in thousands of dollars) of football players on a team is as shown. 20- 10- 0- 4000 Salary (thousands of dollars) 8000 12000 16000 20000 Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. ta/2 = %3D (Round to two decimal places as needed.) В. Za/2 =| (Round to two decimal places as needed.) O C. Neither the normal distribution nor the t distribution applies. Frequency
Statistic problem. Please help
Consider the accompanying data set of dependent and independent variables a. Perform a general stopwise regression using a 0.05 for the p-value to enter and to remove independent variables from the regression model b. Perform a residual analysis for the model developed in part a to verify that the regression conditions are met Click the icon to view the data a. Use technology to perform the general stepwise regression What is the resulting regression equation? Note that the coefficient is 0 for any variable that was removed or not significant -0.69 (050), (050)+(018) - X (Round to two decimal places as needed) • Data Table: y 63 43 51 49 40 42 23 37 30 27 20 31 FR 74 63 78 3534 52 44 47 35 17 15 20 17 Print X₂ 21 259. 15 9 38 18 17 5 40 27 30 33 x₂ 22 aadosa 2NNG 29 20 17 13 17 8 15 10 10 Done 1
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An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.
Please assist second part? Thank you!
The next four questions (29 to 32) refer to the following: To most Canadians, earthquakes are viewed as rare occurrences, but they are actually quite common. In just one month in 2001, Natural Resources Canada recorded 215 earthquakes that affected Canada from B.C. to Nunavut to Newfoundland. We would like to determine whether there is a linear relationship between the location of an earth- quake X (measured in degrees latitude north of the equator) and the magnitude of the earthquake Y (measured on the Richter scale). The explanatory and response variables are measured for a sample of 13 earthquakes. The equation of the least squares regression line is ŷ = -3.05+ 0.10x. The ANOVA table is showm below: ге Source of Variation df Sum of Squares Mean Square F Regression Error Total 1.40 25.10
3. Regression analysis breaks scores on the DV into... (explain and give equations)
please answer for what is the p value

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