When we test the hypothesis for a significant correlation, we use which of the following statistics?...
When we test the hypothesis for a significant correlation, we use which of the following statistics?
a. r
b. r squared
c. the regression equation
d. t
Homework Answers
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When we test the hypothesis for a significant correlation, we
use which of the following statistics?...
Which of the following is the null hypothesis when you use the correlation coefficient? a. rho...
Which of the following is the null hypothesis when you use the correlation coefficient? a. rho = 0 b. there is a relationship between the two variables c. there is not a null hypothesis when you test the significance of r. d. The correlation will not be negative
Use the given information to complete the test to determine if there is significant linear correlation...
Use the given information to complete the test to determine if there is significant linear correlation between numbers of hours a student spent preparing for a test and test scores. Use a significance level of 0.05. 1) The test scores of 6 randomly picked students and the numbers of hours they prepared are 1) as follows: Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 The equation of the regression line is y = 1.06604x...
When we conclude that β1 = 0 in a test of hypothesis or a test for...
When we conclude that β1 = 0 in a test of hypothesis or a test for significance of regression, we can also conclude that the correlation, ρ, is equal to ______
In determining if this regression is significant, I observed the following, am I taking the correct...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
1. When do we use an independent groups t-test? a. b. c. d. When we are...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
Use EXCEL and screenshot all steps The following 6 questions are related. A statistics practitioner in...
Use EXCEL and screenshot all steps The following 6 questions are related. A statistics practitioner in an international company is investigating the factors that affect salary of sale managers. He wondered if evaluations by customers are related to salaries. To this end, he collected 100 observations on: y = Annual salary (in dollars) x = Mean score on customer evaluations To accomplish his goal, he assumes the following relationship: y = β(0) + β(1)x + ε Then, using...
for the data below test weather the linear correlation between x and y is significant. use...
for the data below test weather the linear correlation between x and y is significant. use a significance level of 0.05. X= 6, 8, 20, 28,36 Y= 2, 4, 13, 20, 30 null hypothesis alternative null= test statistics p value= reject or fail to reject null = formal conclusion=
4. Can we use the regression line to make reliable prediction of the number of deaths...
4. Can we use the regression line to make reliable prediction of the number of deaths per 100,000? (Is there a significant correlation between the two factors?) a. Find the p-value for a hypothesis test to if there is significant correlation b. At the 5% significance level, what can you conclude about the correlation? C. Can we use the regression line to make reliable predictions? 5. Predict the number of deaths for ages 40 and 60 (use the midpoint when...
Compute the Pearson Correlation Coefficient, r, for the following data X Y 1 7 3 4...
Compute the Pearson Correlation Coefficient, r, for the following data X Y 1 7 3 4 5 3 4 2 2 4 Note: If it is a decimal number with two or more than two places, leave only two decimal places after the decimal point and do not round. If it is a negative correlation, please do not forget to include the negative sign. 1a) The Pearson Correlation, r is: 1b) The correlation is Group of answer choices a) Medium...
which of the following is correct, when we have pure serial correlation in a regression? 12...
which of the following is correct, when we have pure serial correlation in a regression? 12 Multiple Choice ) we can use first differencing model only if the serial correlation is first order. 0 the error terms of the first differnced model are not serially correlated. ) if the first differenced method is applied correctly, the coefficients of the regression are unbiased and efficient O All of the above choices are correct
Use the given information to complete the test to determine if there is significant linear correlation between numbers of hours a student spent preparing for a test and test scores. Use a significance level of 0.05. 1) The test scores of 6 randomly picked students and the numbers of hours they prepared are 1) as follows: Hours 5 10 4 6 10 9 Score 64 86 69 86 59 87 The equation of the regression line is y = 1.06604x...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
for the data below test weather the linear correlation between x and y is significant. use a significance level of 0.05. X= 6, 8, 20, 28,36 Y= 2, 4, 13, 20, 30 null hypothesis alternative null= test statistics p value= reject or fail to reject null = formal conclusion=
4. Can we use the regression line to make reliable prediction of the number of deaths per 100,000? (Is there a significant correlation between the two factors?) a. Find the p-value for a hypothesis test to if there is significant correlation b. At the 5% significance level, what can you conclude about the correlation? C. Can we use the regression line to make reliable predictions? 5. Predict the number of deaths for ages 40 and 60 (use the midpoint when...
which of the following is correct, when we have pure serial correlation in a regression? 12 Multiple Choice ) we can use first differencing model only if the serial correlation is first order. 0 the error terms of the first differnced model are not serially correlated. ) if the first differenced method is applied correctly, the coefficients of the regression are unbiased and efficient O All of the above choices are correct
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