The following data give the number of hours 5 students spent studying as their corresponding grades on their midterm exams. Hours Studying 0 5 5 5 5 Midterm Grades 64 71 74 88 93 Table Step 4 of 5 : Construct the 95% confidence interval for the slope. Round your answers to three decimal places.
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The following data give the number of hours 5 students spent studying as their corresponding grades on their midterm exams. Hours Studying 0 5 5 5 5 Midterm Grades 64 71 74 88 93 Table Step 4 of 5 : Construct the 95% confidence interval for the slope. Round your answers to three decimal places.
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- Statistics QuestionA teacher is interested to know whether the average number of hours spent by the students in watching educational YouTube videos has a significant relationship with their performance during the final term examination. He surveyed a group of students on his class and tabulated the result. Use 0.05 level of significance. Student Number of Hours (X) Exam Scores (Y) A 4. 36 2 20 21 4 36 E 27 3 25 G 2 19 20 23 J 45 K 6. 49 L 40 M 26 N 2. 40 34 Ex- ТОTAL Y = = What is the linear regression equation?Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90
- A teacher is interested to know whether the average number of hours spent by the students in watching educational YouTube videos has a significant relationship with their performance during the final term examination. He surveyed a group of students on his class and tabulated the result. Use 0.05 level of significance. Student Number of Hours (X) Exam Scores (Y) A 4 36 B 2 20 3 21 D 4. 36 E 27 3 25 2 19 H 1 20 5 23 J 4. 45 K 49 40 M 5 26 N 2 40 3 34 ТOTAL X = = What is the value of the slope?Which scatter plot shown has the strongest negative correlation?Which r is the strongest correlation? O -0.8 O-0.18 O-0.09 O 0.711 O 0.4
- The data below are the final scores of 10 randomly selected statistics students and the number of hours they studied for the final. What is the best-predicted value for y given x = 6? Assume that the variables x and y have a significant correlation. hours x: 3,5,2,8,2,4,4,5,6,3 scores y: 65,80,60,88,66,78,85,90,90,71 A.84 B.86 C.85 D.87A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.8) for the 143 females and 2.3 (s = 2.8) for the 171 males. Complete parts a through c below. ... (Round to four decimal places as needed.) What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x2- OB. The standard error is the standard deviation of the sample for this study. OC. The standard error is the difference in standard deviations for the two populations. OD. The standard error is the standard deviation of the difference between x₁ - x₂- b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is…When you hold the mouse pointer over a point on the graph, the specific value corresponding to that point appears (e.g., “California, 2013 - 19.4%”) as well as a line called “90% Confidence” followed by an range of values. Generally speaking, what does the range of values denoted by “90% Confidence” indicate?
- A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 4.2 (s = 5.4) for the 149 females and 2.8 (s=4.2) for the 190 males. Complete parts a through c below. 000 DOD F4 What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x₂. B. The standard error is the standard deviation of the difference between x₁ - x₂. OC. The standard error is the standard deviation of the sample for this study. OD. The standard error is the difference in standard deviations for the two populations. ... b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is (Round to two decimal places as…You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…Suppose a clinical psychologist sets out to see whether sexual orientation is related to relationship longevity. He decides to measure relationship satisfaction in a group of homosexual couples and a group of heterosexual couples. He chooses the Marital Satisfaction Inventory because it refers to "partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples. Higher scores on the Marital Satisfaction Inventory indicate greater relationship satisfaction. The psychologist administers the Marital Satisfaction Inventory to 53 couples-23 are homosexual couples and 30 are heterosexual couples. He wants to calculate the correlation between a couple's relationship satisfaction and sexual orientation. Which of the following types of correlations would be most appropriate for the psychologist to use? O A phi-correlation A Spearman correlation OA point-biserial correlation A Pearson correlation