Regression was used to determine if systolic bloodpressure predicts total cholesterol in a random sample ofover 4000 middle-aged adults. The results are in the tablebelow.InterceptSYSBPCoefficients Standard Error t Stat P-value3.97346.3300.029 13.507 9.27E-41184.0710.3980Write out the answers to each of the following questionsand upload a picture of your handwritten work.a. Write out the prediction equation.b. Interpret the slope.c. What is the predicted value for total cholesterol forsomeone with systolic blood pressure equal to 157? Showyour work.d. If systolic blood pressure equals 119 and totalcholesterol equals 204, what is the residual? Show yourwork.

The regression output is: Coefficients Standard Error t Stat P-value Intercept 184.071 3.973…

Answered: Regression was used to determine if…

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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Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…
Which one of the following numbers for the standard error of estimate would indicate the best regression fit? 100 50 1000 10
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
Show work Researchers conducting a study of 15 children with a diagnosis of ADHD wish to assess whether the BMI of the children is correlated with degrees of hyperactivity in the child. The BMI of the children is shown in the image. What is the Q3 value for BMI in the study? You should get the same answer regardless of whether you do it by hand or in Excel.
Step 2 of 3: Compute the value of the test statistic. Round your answer to three decimal places. tep 3 of 3: Draw a conclusion and interpret the decision.
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. The data is reported to the right. Complete parts (a) through (d) below. Click the icon to view the critical values table. 1,080,000- 780,000 MRI 130 145 (a) Draw a scatter diagram treating MRI count as the explanatory variable and IQ as the response variable. Choose the correct diagram below. OA. Q Q OB. AMRI 1,080,000- 780,000 130 IQ 145 COLO Q Q SCIER O C. AIQ 145+ 130 780,000 Females MRI IQ 866,662 130 857,782 133 MRI IQ 935,494 141 1,079,550 141 852,244 132 1,001,121 140 951,545 137 955,466 133 790,619 135 1,038,438 139 MRI Males 1,080,000 C D. 145 AIQ 130- 780,000 MRI 1,080,000 Q (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to…
A fitness instructor measured the heart rates of the participants in a yoga class at the conclusion of the class. The data is summarized in the histogram below. There were fifteen people who participated in the class between the ages of 25 and 45. 90 100 110 120 130 140 150 160 Beats per minute (bpm) What percent of the participants had a heart rate between 130 and 150 bpm? 4. 2. Frequency
The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $6 million. Is the result close to the actual number of viewers, 8.9 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. 98 3.5 3 7 13 12 13 10 2 6.8 6.3 10.2 8.5 4.4 1.8 2.7 What is the regression equation? y=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $6 million? The best predicted number of viewers for a television star with a salary of $6 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 8.9 million? O A. The result is very close to the actual number of viewers of 8.9 million. O B. The…
Breast-feedingmothers secrete calcium into their milk. Some of thecalcium may come from their bones, so mothers maylose bone mineral. Researchers measured the percent changein mineral content of the spines of 47 mothers during threemonths of breast-feeding.6 Here are the data: -4.7 -2.5 -4.9 -2.7 -0.8 -5.3 -8.3 -2.1 -6.8 -4.32.2 -7.8 -3.1 -1.0 -6.5 -1.8 -5.2 -5.7 -7.0 -2.2-6.5 -1.0 -3.0 -3.6 -5.2 -2.0 -2.1 -5.6 -4.4 -3.3-4.0 -4.9 -4.7 -3.8 -5.9 -2.5 -0.3 -6.2 -6.8 1.70.3 -2.3 0.4 -5.3 0.2 -2.2 -5.1 (a) The researchers are willing to consider these 47women as an SRS from the population of all nursingmothers. Suppose that the percent change in this population has standard deviation 2.5%. Make a stemplotof the data to verify that the data follow a Normal distribution quite closely. (Don’t forget that you need botha 0 and a 0 stem because there are both positive andnegative values.) (b) Use a 99% confidence interval to estimate the meanpercent change in the population
The table below shows the frequency of AP Physics scores for a high school class. AP Score Frequency 1 4. 6. 3 4 Find the mean and median. O Mean = 1.67 and Median 2 Mean 5 and Median = 4 Mean 3 and Median Mean 3 and Median = 3 Mean 5 and Median 3

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