compute the least-squares regression line for predicting diatolic pressure (y)from systolic pressure(x)find the P-valueInterpret the P-valuestate a conclusion Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart iscontracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters,for a sample of 8 adults. The following table presents the results.Systolic128107103113121120133118Send data to ExcelDiastolic8787808269877472Use the P-value method to test Ho: P₁ = 0 versus H₁ : B₁ <0. Can you conclude that systolic blood pressure is useful in predicting diastolic blood pressure? Usethe a = 0.01 level of significance and the TI-84 calculator.Part: 0 / 4Part 1 of 4Compute the least-squares regression line for predicting diastolic pressure (y) from systolic pressure (x). Round the slope and y-intercept values to atleast four decimal places.Regression line equation: y =X

Solution: Given information: n= 8 observation k= 1 independent variable

Answered: pressur is the maximum pressure taken…

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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Write Regression equation, identifying all parts. Show all work here. 45 observations were selected. SSxx=87.34 SSxy=193.02 Ex=297.5 Zy=385 xbar = Three decimal places ybar = Three decimal places b1 = Three decimal places bo = Three decimal places regression equation =
The data below shows the result (y) for every value of (x). Using the method of least squares, find the slope of the regression line (b^hat)
The commercial division of a real estate firm is conducting a regression analysis of the relationship between I, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. ANOVA MS Significance F Regression 1 41587.6 Residual Total 51984.7 Coefficients Standard Error t Stat P-value Intercept 20.000 3.2213 6.21 Apnual Gros 7.240 1.3621 5.29 Rents a. How many apartment buildings were in the sample? b. Write the éstimated regression equation (to 2 decimals if necessary). c. Use the t statistic to test the significance of the relationship at a 0.05 level of significance. What is the p-value? Use Table 2 of Appendix D. P-value is-Sclect your answer - What is your condusion? - Select your answer - d. Use the F statistic to test the significance of the relalionship at a 0.06 level uf significanct. Compute the F test slatistic (to 2…
Due in 3 hours, 41 minutes. Due Sat 04/18/2020 11:59 pm Show Intro/Instructions A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: у-ах+b a=6.704 b=30.59 p2=0.972196 r=0.986 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole number. Hint: Help License Points possible: 1 This is attempt 1 of 3. Message instructor about this question Submit
x 1 Label (y) 2, 2.2 0, -0.1 -3, -2.5 1,1 Fit the linear 1 regression model y = wx using squared error. 1 y = 1.5x₁ y = 2.9x₁ y = 0.9x, The answer is y = 0.9x1 1 Please use the concept of w = (XX^T) - 1 Xy Please show detailed steps x 1 Label (y) 2 2.2 0 -0.1 -3-2.5 1 1 4) Fit the linear regression model y = wx₁ using squared error. y = 1.5x1 y = 2.9x1 y = 0.9x1
method of converting nonparametric data to parametric data
Data was collected to explain an employee’s annual income raise (expressed in $’s) based on the employee’s rating (on a scale of 1-20) *COMPLETE THE TABLE BELOW*
Calculate the standard error. May normality be assumed? (Round your answers to 4 decimal places.) standard Error Normality (Click to selec v (a) n = 22, T = .45 (b) |(Click to select) v (Click to select) v |(Click to select) v n = 45, T = .18 (c) n = 110, T = .16 (d) n = 547, T = .003
Using the regression model, which is the estimated score in quiz of a student and is the number of hours the student spent in studying before the quiz, interpret the regression constant (bo) 50. None of the above. O The estimated score of a student who had 0 hours spent in studying is 50. The regression constant is not appropriate to interpret. The number of hours needed to have a score of 100 is 50.
The commercial division of a real estate firm is conducting a regression analysis of the relationship between 3, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. ANOVA df MS F Significance F Regression 1 41587.6 Residual 7 Total 8 51984.2 Coefficients Standard Error t Stat P-value Intercept 20.000 3.2213 6.21 Annual Gross 7.240 1.3623 5.29 Rents a. How many apartment buildings were in the sample? b. Write the estimated regression equation (to 2 decimals if necessary). c. Use the t statistic to test the significance of the relationship at a 0.05 level of significance. What is the p-value? Use Table 2 of Appendix B. p-value is - Select your answer What is your conclusion? - Select your answer - d. Use the F statistic to test the significance of the relationship at a 0.05 level of significance. Compute the F test…
White's Test: R^2 for the original regression = 0.71 R^2 for the auxiliary regression (where e is the dependent variable) =0.01 The regression has 42 observations. What is the chi.squared test statistic?

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