Question

When the correlation coefficient for a critical process parameter is -0.95, we conclude that. a. An...

When the correlation coefficient for a critical process parameter is -0.95, we conclude that. a. An increase in CPP leads to an increase in process output b. An increase in CPP leads to a decrease in the process output c. There is little or no relationship between CPP and process output d. The process is not capable of producing this device

Homework Answers

Answer #1

The correct choice is b.

b. An increase in CPP leads to a decrease in the process output

Correlation coefficient measure the linear relationship between the two variables.

If it is negative and close to -1 then there is strong negative relation between the two variables.

Here the correlation coefficient is -0.95 which is close to -1. so there is strong relation between the two variable and it is

negative. That is if one variable increase the other decrease and vice versa.

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
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there...
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 2. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 3. A correlation coefficient of -0.96 would mean that the values of y decrease as the values of x increase.
1. When comparing two companies, a correlation coefficient of 0 means there is: A. Positive correlation...
1. When comparing two companies, a correlation coefficient of 0 means there is: A. Positive correlation B. Negative correlation C. No correlation D. Need more information 2. When comparing two companies, a correlation coefficient of +1 means there is: A. Positive correlation B. Negative correlation C. No correlation D. Need more information 3. Toyota Motor Corporation would like to increase revenue and decrease risk. It should merge with: A. Nissan Motor Company B. Ford Motor Company C. Google D. Honda...
From the data on 10 students it was found that the sample linear correlation coefficient (r)...
From the data on 10 students it was found that the sample linear correlation coefficient (r) between their Math scores and English scores was 0.75. a) Overall if the Math Score increases, does the English score increase or decrease? b)(b) At a=0.10, what is the critical value of the correlation coefficient (r a/2 (c) From the result of part (b), do you conclude that there is a significant linear correlation between Math and English scores in general? (Answer YES or...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine whether each of the following statement is true or false. (a) The variables A and B are categorical. (b) The correlation coefficient tells us whether A or B is the explanatory variable. (c) If the correlation coefficient is positive, then lower values of variable A tend to correspond to lower values of variable B. (d) If the correlation between A and B is r...
1)Adding an outlier in a scatterplot will do which of the following to the correlation coefficient?...
1)Adding an outlier in a scatterplot will do which of the following to the correlation coefficient? Explain a) Increase the correlation coefficient b) Decrease the correlation coefficient c) Change the correlation coefficient from positive to negative d) Change the correlation coefficient from negative to positive e) All options above are possible   2) When the correlation coefficient is close to +1, it indicates. Please explain a) changes in one variable cause changes in the other, but we don't know which one...
Which of the following statements concerning the linear correlation coefficient is/are true? A: If the linear...
Which of the following statements concerning the linear correlation coefficient is/are true? A: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. B: If the slope of the regression equation is negative, then the linear correlation coefficient is negative. C: The value of the linear correlation coefficient always lies between -1 and 1 inclusive. D: A correlation coefficient of 0.62 suggests a stronger linear relationship than a correlation coefficient of -0.82.
Use a scatterplot and the linear correlation coefficient r to determine whether there is a correlation...
Use a scatterplot and the linear correlation coefficient r to determine whether there is a correlation between the two variables. Use alphaequals0.05. x 2 4 7 1 6 y 5 8 12 3 11 Click here to view a table of critical values for the correlation coefficient. LOADING... Does the given scatterplot suggest that there is a linear​ correlation? A. ​Yes, because the data does not follow a straight line. B. ​No, because the data follows a straight line. C....
Consider a correlation coefficient of .095 between variables A and B. The correlation coefficient was calculated...
Consider a correlation coefficient of .095 between variables A and B. The correlation coefficient was calculated from a sample of 1100 respondents and is statistically significant, p < .0001. Consider a correlation coefficient of .891 between variables C and D. The correlation coefficient was calculated from a sample of 15 observations and is statistically nonsignificant, p > .10. So, when should marketing analysts consider a correlation strong enough to even consider given the issue raised above?
Which of the following is a FALSE statement of the correlation coefficient? Select one: a. The...
Which of the following is a FALSE statement of the correlation coefficient? Select one: a. The closer the value of the correlation coefficient is to negative one, the weaker the relationship between the returns on the two securities. b. The closer the absolute value of the correlation coefficient is to zero, the weaker the relationship between the returns on the two securities. c. Positive correlation coefficients imply that the returns on Security A tend to move in the same direction...
A correlation coefficient of r = -.52L was computed forn =20,u=.01. UsingTable I, what are the...
A correlation coefficient of r = -.52L was computed forn =20,u=.01. UsingTable I, what are the critical values? A. + 0.444 B. + 0.708 c. + 0.561 D. t0.576 What is the correct conclusion for the previous question? A. The test value is greater than the critical value, so the null hypothesis is not rejected. B. The test value is not between the critical values, so the null hypothesis is rejected. C. The test value is between the critical values,...