Question

The data below are the temperatures on randomly chosen days during a winter class and the...

The data below are the temperatures on randomly chosen days during a winter class and the number of absences on those days. Assume variable x and y have significant correlation.

Temperature (X) 38 26 20 22 11 32 -5 16 22
Number of Absences (Y) 0 3 6 4 9 2 15 8 5

a) Sketch a scatter-plot and find the sample correlation coefficient (with correct symbol).

b) Perform a hypothesis test to determine if significant linear correlation exists at 5% level of significance. Indicate calculator function used.

c) State the hypothesis.

d) Find the standardized test statistic, include the correct symbol, and indicate calculator function used.

e) Draw the distribution, shading the tail(s) and labeling the values.

f) Make your decision and state why.

g) If there is a significant correlation found, write a regression equation for the given information. Show symbols and calculator function.

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
The accompanying data represent the number of days​ absent, x, and the final exam​ score, y,...
The accompanying data represent the number of days​ absent, x, and the final exam​ score, y, for a sample of college students in a general education course at a large state university. Complete parts ​(a) through​ (e) below. Absences and Final Exam Scores No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 89.6 87.3 83.4 81.2 78.7 74.3 64.5 71.1 66.4 65.6 Critical Values for Correlation Coefficient n 3 0.997 4...
The accompanying data represent the number of days​ absent, x, and the final exam​ score, y,...
The accompanying data represent the number of days​ absent, x, and the final exam​ score, y, for a sample of college students in a general education course at a large state university. Complete parts ​(a) through​ (e) below. LOADING... No. of ​absences, x 0 1 2 3 4 5 6 7 8 9 Final exam​ score, y 88.9 86.4 83.7 81.5 78.9 73.2 63.7 71.8 65.1 66.8 PrintDone Click the icon to view the absence count and final exam score...
Following data shows number of ICU admission (X) and number of death per day (Y) for...
Following data shows number of ICU admission (X) and number of death per day (Y) for seven days due to COVID-19 virus. Calculate the test value to test the hypothesis there is no significant correlation between X and Y. Day ICU admission (X) Death (Y) 1 21 2 2 15 5 3 26 6 4 30 12 5 35 15 6 25 9 7 40 18 Total 192 67 Question 15 options: 5.05 8.32 4.33 7.65 16.84
A study was done to look at the relationship between number of vacation days employees take...
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 0 1 4 9 13 13 15 1 6 9 Sick Days 9 12 10 5 5 1 0 6 4 6 Find the correlation coefficient: r=r=   Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:? r μ...
The table below shows the relationship between watching TV news (number of days per week) and...
The table below shows the relationship between watching TV news (number of days per week) and fear of crime (0 = very low…. 10=very high) expressed by a sample of 10 people. Would you say that watching the news increases one’s fear of crime? It will save you time to use Excel to answer the questions, but you can use the formula from your book to calculate Pearson’s r]  [15 points] TV news (days watched per week) Fear of crime 1...
PEARSON R CORRELATION The director of an obesity clinic in a large southwestern city believes that...
PEARSON R CORRELATION The director of an obesity clinic in a large southwestern city believes that drinking soft drinks contributes to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following study. Fifteen 12-year-old volunteers are randomly selected from the local junior high. Parents are asked to monitor and record the number of soft drinks consumed by their child over a one-week period. The children were weighed at the end of the week...
#2 A data processing company has a training program for new salespeople. After completing the training...
#2 A data processing company has a training program for new salespeople. After completing the training program, each trainee is ranked by his or her instructor. After a year of sales, the same class of trainees is again ranked by a company supervisor according to net value of the contracts they have acquired for the company. The results for a random sample of 11 salespeople trained in the last year follow, where x is rank in training class and y...
The mean number of sick days an employee takes per year is believed to be about...
The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey 8 employees. The number of sick days they took for the past year are as follows: 12; 5; 13; 4; 11; 9; 8; 10. Let X = the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10?...
Question 1: The data table shows the sugar content of a fruit (Sugar) for different numbers...
Question 1: The data table shows the sugar content of a fruit (Sugar) for different numbers of days after picking (Days). Days Sugar 0 7.9 1 12.0 3 9.5 4 11.3 5 11.8 6 10.3 7 4.2 8 0.8 HAND CALCULATIONS: The dependent (Y) variable is sugar content and the independent (X) variable is number of days after picking (Days). Do the following by hand, SHOWING WORK. You may use SAS/R to check your answers if you want. (a) Find...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 1 2 2 4 5 6...