Doctors are interested in the relationship between the dosage of a medicineand the time required for a patient's recovery. Table 2 shows, for a sample of10 patients, dosage levels (in grams) and recovery times (in hours). Thesepatients have similar characteristics except for medicine dosages.Table 2: Dosage Level and Recovery TimePatientDosage Level Recovery Time11.22521.32831.04041.4381.5106.1.89.71.2278.1.3309.1.416101.318a. Estimate the linear regression of recovery time on dosage level.b. Compute R2 and interpret it.c. Perform an F test of goodness of fit at the 5% significance level.

Data is given for 10 patients : Linear regression =? R^2=? F test of goodness of fit at 5%…

Answered: Doctors are interested in 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 following histogram shows the amount of Potassium (in milligrams (mg) perserving) in 39 boxes of cereal. Use this histogram to answer the following questions. Image(a) What is the shape of this data?(b) What percent of the tested cereals have less than 80mg of potassium per serving?(c) What are the highest potassium levels in these cereals? Be as accurate as youare able.(d) What are the lowest potassium levels in these cereals? Be as accurate as you areable.
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Frequency 10 8 6 4 2 100 101 102 103 104 105 106 10 amount of sugar (mg) What is the frequency of 102 mg of sugar? snacks
What is the difference between relative frequency and cumulative frequency? Choose the correct answer below. A. Relative frequency of a class is the number of observations in that class, while cumulative frequency of a class is the sum of all the frequencies. B. Relative frequency of a class is the proportion of the data in that class, while cumulative frequency of a class is the number of observations in that class. C. Relative frequency of a class is the percentage of the data that falls in that class, while cumulative frequency of a class is the sum of the frequencies of that class and all previous classes. O D. There is no difference between the two.
The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…
A manufacturer of exercise equipment wanted to collect data on the effectiveness of their equipment. A magazine article compared how long it would take men and women to burn 200 calories during light or heavy workouts on various kinds of exercise equipment. The results summarized in the accompanying table are the average times for a group of physically active young men and women whose performances were measured on a representative sample of exercise equipment. Assume normality of the population. Complete parts (a) through (c) below. Click the icon to view the data table. C a) On average, how many minutes longer than a man must a woman exercise at a light exertion rate in order to burn 200 calories? Find a 95% confidence interval. minutes (Round to one decimal place as needed.) b) Estimate the average number of minutes longer a woman must work out at a light exertion than at heavy exertion to get the same benefit. Find a 95% confidence interval. (₁) minutes (Round to one decimal place…
Please write complete thx. Penicillin is produced by the Penicillium fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on each of three successive days, and the amount of dissolved sugars (in mg/mL) was measured on each sample. The results were as follows: Day 1 4.6 4.9 5.0 4.8 5.2 4.9 Day 2 5.0 5.0 5.1 5.5 5.1 5.3 Day 3 5.7 5.6 5.3 5.5 5.4 5.4 6.2 5.3 a) State the appropriate hypotheses to test for a difference in means. b) Construct the appropriate ANOVA table. c) Use the ANOVA table from part b) to test whether there is a difference in the mean amount of dissolved sugars between the three days at the .05 level. d) Is it applicable to follow up with Tukey-Kramer pairwise comparisons? If so, determine which pair(s) of means are significantly different using the Tukey-Kramer method. If not, explain why not.
A researcher collected how many grams of fat people on a specific diet consumed at breakfast and at lunch. The data for a sample of 8 people is shown in the table below. xx 11.3 8.2 7.2 3.6 2.3 2.5 2.7 0.4 yy 13.7 10.7 10.2 7.2 6.3 6.5 6.1 4.1 xx = grams of fat in breakfastyy = grams of fat in lunchThis data can be modeled by the equation ˆy=0.84x+4.07.y^=0.84x+4.07.Given this, how many grams of fat in lunch would be expected for a person who consumed 1.2 grams of fat at breakfast? Round to 1 decimal place.Answer =
In a study conducted in Italy, 10 patients with hypertriglyceridemia were placed on a low-fat, high-carbohydrate diet. Before the start of the diet, cholesterol and triglyceride measurements were recorded for each subject. Patient Cholesterol Level (mmol/l) Triglyceride level (mmol/l) 1 5.12 2.30 2 6.18 2.54 3 6.77 2.95 4 6.65 3.77 5 6.36 4.18 6 5.90 5.31 7 5.48 5.53 8 6.02 8.83 9 10.34 9.48 10 8.51 14.20 a. Construct a two-way scatter plot for these data. b. Use STATA to calculate Pearson’s Correlation Coefficient for these data. c. Test, α = 0.05, whether or not the population correlation, ρ, equals 0.
A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %
1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. 10 80 85 90 95 100 105 110 115 amount of sugar (mg) What the sample size for this data set? Frequency 6
One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. A Click the icon to view the housing data. (a) Which variable is the explanatory variable? Question Help v O Square Footage O Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. 4500- OB. 750 Oc. OD. 750- 1000- 150 1000 Click to select your answer(s) 4500 P Type here to search ON&E EB WA 421 PM 914 Panasonic CF-54 TOUGHBOOK 図 CDSS-4853 SarolPause Lock Break A/C F8 F9 F10 F11 F12 PrtSc Num Lock F2 F3 F4 F5 F6 F7 Esc SysRa Back space & Home 2$ 4 @ %23 1 A1 2 AZ 3 5 Page Y U R Q W 15 Tab Enter K 2 F H. 3 i田

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