1307511869Send data to ExcelThe least-squares regression line y=b,+b,x= 101.5438 – 0.1885x and E (x-== 685.5000 are known for this data. Use the critical value method to testH: B, =0 versus H, : B, <0. Can you conclude that systolic blood pressure is useful in predicting diastolic blood pressure? Use the a=0.01 level ofsignificance.Part: 0 / 4Part 1 of 4Find the critical value(s). Round the answer to three decimal places. If there is more than one critical value, separate them with commas.Critical value(s):MiDECA の... 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.Systolic Diastolic1268810486103801108012271117881307511869Send data to ExcelThe least-squares regression line y=b,+b,x= 101.5438 – 0.1885x and E (x- x) = 685.5000 are known for this data. Use the critical value method to testH:B,=0 versus H : B,<0. Can you conclude that systolic blood pressure is useful in predicting diastolic blood pressure? Use the a=0.01 level ofsignificance.MicroscDart: 0 / AwMacBook Air

The null hypothesis of the form: H0: β 1= 0 The alternative hypothesis is of the form: Ha: β 1<0…

Answered: 118 69 Send data to Excel The…

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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The least squares regression line for a set of data is calculated to be y = 24.8 + 3.41x. (a) One of the points in the data set is (4, 37). Calculate the predicted value. (b) For the point in part (a), calculate the residual.
Multiple regression analysis was used to study how an individual's income (Y in thousands of dollars) is influenced by age (X1 in years), level of education (X2 ranging from 1 to 5), and the person's gender (X3 where 0 =female and 1=male). The following is a partial result of computer output that was used on a sample of 20 individuals. Present the estimated regression equation and compute the coefficient of determination. Explain it. Use the t test to determine the significance of each independent variable. Let α = 0.05. (For each test, give the null and alternative hypotheses, test statistic, and conclusion.) Use the F test to determine whether or not the regression model is significant. Let α = 0.05. (For the test, give the null and alternative hypotheses, test statistic, and conclusion.) Does the estimated regression equation provide a good fit for the observed data? Explain it. Suppose a new person with X1=40, X2=4, X3=0. Use the estimated regression equation in part (a)…
Compute the least-squares regression line for predicting the price of milk from the price of eggs. Round the slope and -intercept to at least four decimal places.
A multiple regression model was fit to predict domestic gross for movies based off of the production budget, opening weekend gross and number of stars. The overall F test p-value equals 0.252. What conclusion can you make at alpha = 0.05? All of the variables contribute to the model. At least one of the variables contributes to the model. O None of the variables contribute to the model.
A representative sample of 190 students resulted in a regression equation between y = left hand spans (cm) and x = right hand spans (cm). The least squares regression equation is y = 1.4 + 0.97 x. For a student with a right and left hand span of 24 cm, what is the value of the residual? Give your answer to 2 decimal places.
Problem 11: A 95% confidence interval for the population mean GPA of students who passed STAT 361 is given by (3.419, 3.981). (a) If we increase the confidence level to 98% while keeping everything else same, what happens to the new confidence interval? Explain. (b) Which confidence interval is more precise? 95% or 99%? Explain. (c) If we use the same 95% confidence level, how do you get a more precise confidence inkerval? Explain.
Write the multiple regression equation for miles per gallon as the response variable. How might the car rental company use this model?
The least-squares regression equation is y = 743.3x+ 12,990 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7921. Complete parts (a) through (d). 55000- 20000- 15 20 25 30 35 40 45 50 55 60 Bachelor's % (a) Predict the median income of a region in which 20% of adults 25 years and older have at least a bachelor's degree. $ (Round to the nearest dollar as needed.) Median Income
The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-1.364 b=32.282 r2=0.398161 r=-0.631 Use this to predict the number of situps a person who watches 4 hour(s) of TV can do, and please round your answer to a whole number.
The regression line for the given data is = 6.91x + 46.26. Determine the residual of a data point for which x = 4 and y = 75.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.853 b=34.041 r2=0.389376 r=-0.624 Use this to predict the number of situps a person who watches 7 hour(s) of TV can do, and please round your answer to a whole number.

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