Question

Researchers examined the relationship between Age (x) in years and blood-brain barrier (BBB) permeability (y) in...

Researchers examined the relationship between Age (x) in years and blood-brain barrier (BBB) permeability (y) in transfer units. They collected a simple random sample of 24 adults from the New York City region and measured BBB permeability in the hippocampus. They decide to use least-squares regression to estimate the population regression line:

μy=α+βx

The results from their analysis include:

a=0.67,b=0.016,s=0.0181,SEa=0.84,SEb=0.0037,r2=0.84

(a) What does the estimate of the slope for the least-squares regression line tells us?

A. For every 1 year increase in Age, BBB permeability increases by 0.016 units, on average.

B. For every 1 year increase in Age, BBB permeability increases by 0.67 units, on average.

C. For every 1 unit increase in BBB permeability, Age increases by 0.016 years, on average.

D. For every 1 unit increase in BBB permeability, Age increases by 0.67 years, on average.

(b) We want to test whether or not there is a statistically significant linear relationship between x and y. What are the corresponding null and alternative hypotheses in scientific notation?

A. H0:β=0 and H1:β≠0
B. H0:b=0 and H1:b>0
C. H0:b=1 and H1:b≠1
D. H0:β=1 and H1:β≠1

c) What is the value of the test statistic for the test?

A. 0.7976

B. 0.884

C. 0.84

D. 4.3243

(d) What is the distribtion of this test statistic?

A. Normal(0,1)
B. t(df=23)
C. Chi-square(df=23)
D. t(df=22)

(e) What is the P-value of this test?

A. Greater than 0.10

B. Between 0.05 and 0.10

C. Between 0.01 and 0.05

D. Less than 0.01

(f) What is correlation coefficient between BBB permeability and Age?

A. -0.9165

B. 0.84

C. 0.9165

D. -0.884

(g) What is a 95% confidence interval for the slope in the simple linear regression model?

A. ( 0.0087 , 0.0233 )

B. ( 0.0083 , 0.0237 )

C. ( -0.0195 , 0.0515 )

D. ( -1.0722 , 2.4122 )

(h) Which of the following is the critical value ( t∗ or z∗ ) used to construct the 95% confidence interval?

A. 1.645

B. 1.717

C. 1.96

D. 2.074

(i) The correct interpretation for this confidence interval is that

A. We are 95% confident that BBB permeability in the hippocampus changes, on average, by some amount in this interval for every additional year that adults age.

B. We are 95% confident that BBB permeability in the hippocampus changes by some amount in this interval for every additional year that adults age.

C. For 95% of adults, a one year increase in age results in a change of BBB permeability in the hippocampus by some amount in this interval.

D. None of the interpretations are correct.

Homework Answers

Answer #1

a)

A. For every 1 year increase in Age, BBB permeability increases by 0.016 units, on average.

b)

A. H0:β=0 and H1:β≠0

c)

test statistic=0.016/0.0037 =4.3243

d)

t(df=22)

e)

D. Less than 0.01

f)

Correlation =sqrt(0.84)=0.9165

g)

for 95 % confidence and 22degree of freedom critical t= 2.0740
95% confidence interval =b1 -/+ t*standard error= (0.0083,0.0237)

h)

2.074

i)

A. We are 95% confident that BBB permeability in the hippocampus changes, on average, by some amount in this interval for every additional year that adults age.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following set of ordered pairs. x 6 1 4 3 4 0 y 5...
Consider the following set of ordered pairs. x 6 1 4 3 4 0 y 5 2 5 3 4 5 Assuming that the regression equation is y=3.375 + 0.208x and that the SSE=6.9583​, test to determine if the slope is not equal to zero using α=0.10. State the hypotheses. Choose the correct answer below. A. H0​: β ≠0 H1​: β=0 B. H0​: β=0 H1​: β>0 C. H0​: β=0 H1​: β≠0 D. H0​: β=0 H1​: β<0 Calculate the test statistic....
1. A regression analysis between height y (in cm) and age x (in years) of 2...
1. A regression analysis between height y (in cm) and age x (in years) of 2 to 10 years old boys yielded the least squares line y-hat = 87 + 6.5x. This implies that by each additional year height is expected to: Select one: a. increase by 93.5cm. b. increase by 6.5cm. c. increase by 87cm. d. decrease by 6.5cm.
Data was gathered on 29 people to investigate the relationship between age (x) and Systolic Blood...
Data was gathered on 29 people to investigate the relationship between age (x) and Systolic Blood Pressure (y). The scatter plot and Summary Statistics are shown below. a) Use the scatterplot and Summary Statistics to describe the direction and strength of the relationship between Age and Systolic Blood Pressure, referencing the appropriate statistic. b) What is the regression equation for predicting Systolic Blood Pressure from Age? c) What are the Null and Alternate hypotheses for testing whether there is a...
Eleven cars of a certain model, between one and seven years of age, were randomly selected...
Eleven cars of a certain model, between one and seven years of age, were randomly selected from the classified ads. The ads were tracked to find out the final selling price of the cars. The least square regression equation for predicting the selling price (in 1000 dollars) using the age (in years) is                                                   Which of the following statements is correct? a. The price will increase by $1,560 for every 1-year increase in age. b. The price will decrease by...
4) The regression equation predicting the average weight of a male age 18=24 (y) based on...
4) The regression equation predicting the average weight of a male age 18=24 (y) based on his height (x) is giben by y= 172.63+4.842x. Describe the correlation between height and weight based on the slop of the regression line. a) positive correlation since the magnitude of the slope is large relative to the intercept. b) negative correlation since the magnitude of the slope is small relative to the intercept. c) positive correlation since the slope is positive. d) positive correlation...
1. For a pair of sample x- and y-values, what is the difference between the observed...
1. For a pair of sample x- and y-values, what is the difference between the observed value of y and the predicted value of y? a) An outlier b) The explanatory variable c) A residual d) The response variable 2. Which of the following statements is false: a) The correlation coefficient is unitless. b) A correlation coefficient of 0.62 suggests a stronger correlation than a correlation coefficient of -0.82. c) The correlation coefficient, r, is always between -1 and 1....
A researcher wants to examine the relationship between time spend on social media (variable X) and...
A researcher wants to examine the relationship between time spend on social media (variable X) and loneliness (variable Y) in young adults. A randomly sample of n = 72 young adults was asked how much time in average they spend on social media each day and how lonely day feel on a typical day. The partial computations of collected data produced the following results:                                             SP = 3.5     MX = 5   SSx = 16    MY = 20    SSY= 9 A. Based on these...
Age and Vocabulary Researchers claim that there is significant positive linear correlation between population age and...
Age and Vocabulary Researchers claim that there is significant positive linear correlation between population age and vocabulary based on a sample of nine children with correlation coefficient r = 0.841. Test this claim at the 95% confidence level. Select one for each blank. (a) Hypotheses: H0: [r, rho, x, mu] [=, >=, <=, >, >] 0 Ha: [r, rho, x, mu] [=, >=, <=, >, <] 0 (b) Type of test: [Two sided, Right sided, Left sided]       (c)...
A researcher obtains a sample of n= 16 adults who are between the ages of 65...
A researcher obtains a sample of n= 16 adults who are between the ages of 65 and 75. The researcher measures cognitive performance for each individual before and after a two-month program in which participants receive daily doses of a blueberry supplement. The results show an average increase in performance of MD= 7.4, with SS = 1215. Does the result support the conclusion that the blueberry supplement significantly increase cognitive performance? Use a one-tailed test with α = .05 (A)...
The results of a regression analysis for 120 homes relating yequalsselling price​ (in dollars) to xequalsthe...
The results of a regression analysis for 120 homes relating yequalsselling price​ (in dollars) to xequalsthe size of the house​ (in square​ feet) are available below. A​ 95% confidence interval for the slope is ​(46​,86​). The 120 houses included in the data set had sizes ranging from 430 square feet to 4050 square feet. Complete parts a and b below. LOADING... Click the icon to view the regression analysis results. a. Interpret what the confidence interval implies for a​ one-unit...