Homework Answers
Since there is inverse relationship between number of hours a student studies and rhe no. of errors he makes, the coreelation must be negative.
And also since we are given that there is strong correlation then out of both the negative options -0.7 is appropriate.
Ans is OPTION (C)
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Question 2 1 pts As the number of hours a student studies increases, the number of...
please answer all question (2-5) thanks Question 2 1 pts As the number of hours a...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Part II 19. The gas mileage of an automobile first increases and then decreases as the...
Part II 19. The gas mileage of an automobile first increases and then decreases as the speed increases. Suppose that this relationship is very regular, as shown by the following data on speed (miles per hour) and mileage (miles per gallon): Speed 30 40 50 60 70 Mileage 20 24 26 24 20 SPD 4 Mileage (a) Make a scatterplot of mileage versus speed. Mileage vs Speed Mileage 30 40 60 70 50 Speed 80 stenester even though there is...
Questions 2, 5, 8 and 9 Paused Apps M Gmail YouTube Maps Question 2 0.5 pts...
Questions 2, 5, 8 and 9
Paused Apps M Gmail YouTube Maps Question 2 0.5 pts For a simple linear regression, the standardized regression coefficient (Beta) is: O equal to the Pearson correlation coefficient. unrelated to the correlation value. O the square root of the slope. O the square of the r statistic. 1 pts Question 3 Question 5 0.5 pts If the standard error of the estimate is zero, the relation between two variables is: perfect imperfect curvilinear. unknown...
please answer all question 9-11 Question 9 2 pts z scores are useful because they: o...
please answer all question 9-11
Question 9 2 pts z scores are useful because they: o reduce the probability of Type I and Type Il errors, allow permit the transformation of raw scores into percentiles. o transform linear scores into nonlinear scores, convert nonlinear scores back into linear scores, and allow us to obtain comparisons between nonlinear and linear scores. Pelation to the mean of its underlying population allow comparisons to be made between stores from different distributions, and permit...
The following data was collected to explore how the average number of hours a student studies...
The following data was collected to explore how the average number of hours a student studies per night and the student's PA affect their ACT score. The dependent variable is the ACT score, the first independent variable (ri) is the number of hours spent studying and the second independent variable (x2) is the student's GPA Effects on ACT Scores Study Hours GPA ACT Score 24 21 19 17 Copy Data Step 1 of 2: Find the p-value for the regression...
QUESTION 10 Studies suggest that there is a strong correlation between GPA and weekly hours spent...
QUESTION 10 Studies suggest that there is a strong correlation between GPA and weekly hours spent studying for high school students. A random sample of 30 high school students produced the following linear regression results for predicting GPA from hours spent studying: Regression Statistics R Square 0.650 Observations 30 Intercept Hours Coefficients 0.976 0.226 Select the correct labels for the variables GPA and hours spent studying in this setting. O Hours spent studying is the response variable and GPA is...
QUESTION 3 [20M] Given the data below, where x is the number of hours playing online game, y is the student's class test marks Student Variable 10 20 12 40 80 60 50 a) Name the two most popula...
QUESTION 3 [20M] Given the data below, where x is the number of hours playing online game, y is the student's class test marks Student Variable 10 20 12 40 80 60 50 a) Name the two most popular correlation coefficients. b) Which one will you use for the data presented in the above table and why? c) Calculate the correlation coefficient, r d) Make a scatter plot of the data. From the plot, does the word linear really provide...
Question 41 2 pts This question and the next question are based on the following same...
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
ociation bet i Data Table pretation of is as neede Student Study Time GPA on error....
ociation bet i Data Table pretation of is as neede Student Study Time GPA on error. Skipped predict yig WN- QONOMN- nt of variabili GPA. % 00 O Print Done b. Find and interpret r. Use the interpretation of that refers to the prediction error and the percent of variability explained. 7- (Round to two decimal places as needed) 0 Interpret r in terms of the prediction error The overal prediction error using to predicty is than the prediction error...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Part II 19. The gas mileage of an automobile first increases and then decreases as the speed increases. Suppose that this relationship is very regular, as shown by the following data on speed (miles per hour) and mileage (miles per gallon): Speed 30 40 50 60 70 Mileage 20 24 26 24 20 SPD 4 Mileage (a) Make a scatterplot of mileage versus speed. Mileage vs Speed Mileage 30 40 60 70 50 Speed 80 stenester even though there is...
Questions 2, 5, 8 and 9
Paused Apps M Gmail YouTube Maps Question 2 0.5 pts For a simple linear regression, the standardized regression coefficient (Beta) is: O equal to the Pearson correlation coefficient. unrelated to the correlation value. O the square root of the slope. O the square of the r statistic. 1 pts Question 3 Question 5 0.5 pts If the standard error of the estimate is zero, the relation between two variables is: perfect imperfect curvilinear. unknown...
please answer all question 9-11
Question 9 2 pts z scores are useful because they: o reduce the probability of Type I and Type Il errors, allow permit the transformation of raw scores into percentiles. o transform linear scores into nonlinear scores, convert nonlinear scores back into linear scores, and allow us to obtain comparisons between nonlinear and linear scores. Pelation to the mean of its underlying population allow comparisons to be made between stores from different distributions, and permit...
The following data was collected to explore how the average number of hours a student studies per night and the student's PA affect their ACT score. The dependent variable is the ACT score, the first independent variable (ri) is the number of hours spent studying and the second independent variable (x2) is the student's GPA Effects on ACT Scores Study Hours GPA ACT Score 24 21 19 17 Copy Data Step 1 of 2: Find the p-value for the regression...
QUESTION 10 Studies suggest that there is a strong correlation between GPA and weekly hours spent studying for high school students. A random sample of 30 high school students produced the following linear regression results for predicting GPA from hours spent studying: Regression Statistics R Square 0.650 Observations 30 Intercept Hours Coefficients 0.976 0.226 Select the correct labels for the variables GPA and hours spent studying in this setting. O Hours spent studying is the response variable and GPA is...
QUESTION 3 [20M] Given the data below, where x is the number of hours playing online game, y is the student's class test marks Student Variable 10 20 12 40 80 60 50 a) Name the two most popular correlation coefficients. b) Which one will you use for the data presented in the above table and why? c) Calculate the correlation coefficient, r d) Make a scatter plot of the data. From the plot, does the word linear really provide...
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
ociation bet i Data Table pretation of is as neede Student Study Time GPA on error. Skipped predict yig WN- QONOMN- nt of variabili GPA. % 00 O Print Done b. Find and interpret r. Use the interpretation of that refers to the prediction error and the percent of variability explained. 7- (Round to two decimal places as needed) 0 Interpret r in terms of the prediction error The overal prediction error using to predicty is than the prediction error...
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