Question

True or False Questions a. Suppose that (-0.47, -0.39) is a confidence interval for the difference...

True or False Questions

a. Suppose that (-0.47, -0.39) is a confidence interval for the difference of proportions (p1 - p2). This indicates that p1 is greater than p2

b. If two variables are strongly correlated (r > 0.9 or r < -0.9), we can say that the explanatory variable is causing the response variable.

c. If two variables are negatively correlated this means that when one increases the other tends to increase.

d. If p-value < ? then I reject the null hypothesis. This means I'm 100% sure that the null is false and I reject the null hypothesis.

e. All confidence intervals for a population proportion contain p.

f. The “Line of Best Fit” is the line that minimizes the sum of the squared distances between the points and the line.

g. Suppose variables x and y are correlated. It's possible that the x variable is causing the values we are observing in the y variable.

Homework Answers

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
1. Environmentalists are concerned that Chinook Salmon are becoming infertile due to the increase of toxic...
1. Environmentalists are concerned that Chinook Salmon are becoming infertile due to the increase of toxic chemicals in the Pacific Ocean. Past studies have estimated that the proportion of Chinook that are infertile is 6%. You randomly and independently collect a sample of 240 Chinook and find that 10% of them are infertile. Is this statistically significant evidence that the past studies are underestimating salmon infertility? Answer this question by a. Thinking of this problem as a hypothesis test and...
QUESTION 24 True or False: Measurement error in the dependent variable causes our beta-hat estimates to...
QUESTION 24 True or False: Measurement error in the dependent variable causes our beta-hat estimates to be biased. True False 2.5 points    QUESTION 25 True or False: Perfect multicollinearity means all independent variables are uncorrelated with each other. True False 2.5 points    QUESTION 26 True or False: Statistical tools allow us to prove the null hypothesis is wrong. True False 2.5 points    QUESTION 27 True or False: The coefficient on the interaction of a dummy variable and...
Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 –...
Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 – 8.4x3 + 2.3x4 (a) Which variable is the response variable? x3 x1      x2 x4 Which variables are the explanatory variables? (Select all that apply.) x1 x2 x3 x4 (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant = x2 coefficient= x3 coefficient= x4 coefficient= (c) If x2 = 4, x3 = 10, and x4 = 6, what...
True or False a.) R squared=0 meants that there is no relationships between the two variables....
True or False a.) R squared=0 meants that there is no relationships between the two variables. b.) Using the linear regression line, y= a+bx+e, if a=0 and e = 0 then R squared = 0. c.) In one-way ANOVA, a typical null hypothesis is: all means of groups are equal . d.) In a recent twin study from researchers at King’s College London, the researchers wanted to first test whether identical twins show statistically significantly different thigh muscular power. To...
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.5x2 –...
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.5x2 – 8.2x3 + 2.1x4 (a) Which variable is the response variable? A. x3 B. x1     C. x2 D. x4 (b) Which variables are the explanatory variables? (Select all that apply.) A. x4 B. x1 C. x3 D. x2 (c) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant ____________ x2 coefficient_________ x3 coefficient_________ x4 coefficient_________ (d) If x2 =...
PLEASE ANSWER ALL QUESTIONS! AND EXPLANATIONS IF POSSIBLE. THANK YOU True/False: Q. # 56 - 59...
PLEASE ANSWER ALL QUESTIONS! AND EXPLANATIONS IF POSSIBLE. THANK YOU True/False: Q. # 56 - 59 56. The proportion of the Y score variance explained by X score variance equals R squared. 57. With a multiple regression formula of Ỳ (College GPA) = (.71) * (High School GPA) – (2.08) * (Number of Days Missed in High School) + .91 one would interpret the formula as showing a positive relationship between College GPA and Number of Days Missed in High...
True or false? A larger sample size produces a longer confidence interval for μ. False. As...
True or false? A larger sample size produces a longer confidence interval for μ. False. As the sample size increases, the maximal error decreases, resulting in a shorter confidence interval.True. As the sample size increases, the maximal error decreases, resulting in a longer confidence interval.    True. As the sample size increases, the maximal error increases, resulting in a longer confidence interval.False. As the sample size increases, the maximal error increases, resulting in a shorter confidence interval. True or false? If the...
Q3) In a difference of proportion test with alpha= .01, the critical value for a one...
Q3) In a difference of proportion test with alpha= .01, the critical value for a one tailed lower test is/are: A) -1.96 B) -1.645 and 1.645 C) -2.33 D) -1.28 Q4) If the test statistic for a small sample difference of means test is t*=-2.15, we could reject the Null Hypothesis at alpha =.01 for a two tailed test with degrees of freedom equal to 20: true or false Q9) In a difference of MEans test there are two sources...
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....
Q: A 95% confidence interval for the mean is (102, 106). If we test Ho: ?...
Q: A 95% confidence interval for the mean is (102, 106). If we test Ho: ? = 100 vs. H1: ? ? 100, the p-value will be: (A) larger than 0.05 (B) smaller than 0.05 (C) larger than 0.01 (D) smaller than 0.01 Q: Suppose you want to conduct a t-test using ? = 0.05. You take a random sample of size 30 and obtain the sample mean and sample standard deviation. As a result, you fail to reject the...