Question

Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and fin...

Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and finds that holding everything else constant, people are least happy when they are in their mid-40s (The Economist, December 16, 2010). Data are collected on a respondent’s age and his/her perception of well-being on a scale from 0 to 100; the data is presented below.
  

Age Happiness
49 62
51 66
41 67
65 71
84 87
41 60
83 86
18 78
36 59
61 63
15 77
86 90
73 70
32 62
84 93
23 72
52 58
72 73
63 63
30 66
72 78
47 60
88 95
69 72

a-1. Calculate the sample correlation coefficient between age and happiness. (Round your answer to 2 decimal places.)



a-2.
Interpret the sample correlation coefficient between age and happiness.

  • The correlation between age and happiness is positive and moderate.

  • The correlation between age and happiness is negative and moderate.

  • There is no correlation between age and happiness.



b. Draw a scatterplot to evaluate your interpretation of the calculated sample correlation value.

  • The interpretation is reliable given that for the majority of observations, a direct relationship exists.

  • The interpretation is reliable given that for the majority of observations, an inverse relationship exists.

  • The interpretation is flawed given the linear relationship that seems to exist between these two variables.

  • The interpretation is flawed given the non-linear relationship that seems to exist between these two variables.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Sol:

a-1)

(х-х) (у-у) 62.000 49.00 43.8906 100.0000 66.2500 66.000 2 21.3906 36.0000 27.7500 67.000 213.8906 25.0000 73.1250 71.000 87.

Sample correlation coefficient =0.57

a-2)

Correlation coefficient is VR2-V0.3267= 0.5716 r

Therefore, the correlation between age and happiness is positive and moderate.

b)

   The scatterplot is:

100 90 y 0.2845x + 56.177 R2 0.3267 80 70 60 a 50 E 40 30 20 10 20 40 60 80 100 Age

The correct option is:

The interpretation is flawed given the non-linear relationship that seems to exist between these two variables.

Add a comment
Know the answer?
Add Answer to:
Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and fin...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Many attempts have been made to relate happiness with various factors. One such study relates happiness...

    Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and finds that holding everything else constant, people are least happy when they are in their mid-40s (The Economist, December 16, 2010). Data are collected on a respondent’s age and his/her perception of well-being on a scale from 0 to 100; the data is presented below. Age Happiness 49 62 51 66 41 67 65 71 84 87 41 60 83 86...

  • Many attempts have been made to relate happiness with various factors. One such study relates happiness...

    Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and finds that holding everything else constant, people are least happy when they are in their mid 40's ( The Economists December 16, 2010). The accompanying data shows a respondent's age and his or her perception of well being on a scale from 0 to 100. pt1 1) Calculate and interpret covariance using Excel (10 points) 2)Use Excel to calculate and interpret...

  • Place your answers on the templates provided. Show your work. Directions: 1. A doctor knows that muscle mass decreases with age. To help him understand this relationship in women, the doct...

    Place your answers on the templates provided. Show your work. Directions: 1. A doctor knows that muscle mass decreases with age. To help him understand this relationship in women, the doctor selected women beginning with age 40 and ending with age 80. The data is given in the table below. x is age, y is a measure of muscle mass (the higher the measure, the more muscle mass). Use your calculator to make a scatter plot that shows how age...

  • Next term, there are two sections of STAT 260 - Research Methods being offered. One is...

    Next term, there are two sections of STAT 260 - Research Methods being offered. One is taught by Professor Smith and the other by Professor Jones. Last term, the class average from Professor Smith's section was higher. You want to test whether or not this difference is significant. A significant difference is one that is not likely to be a result of random variation. The scores from last year's classes are given in the table below. Test the claim that...

  • QUESTION- Before applying any inferential tools to the data, always conduct a preliminary analysi...

    QUESTION- Before applying any inferential tools to the data, always conduct a preliminary analysis to get an idea about the association between your variables. In addition, the results of a statistical analysis are valid only if the appropriate assumptions for the model to be used are valid. The assumptions for the ANOVA are that the data are independent and come from normal populations with equal variances (or standard deviations). In particular: (a) Obtain the summary statistics (sample size, mean, standard...

  • For the take-home portion of the exam, you will be analyzing the dataset titled "Testscores", fou...

    For the take-home portion of the exam, you will be analyzing the dataset titled "Testscores", found on the Content page. This dataset lists the scores for two different classes who were both given a similar test. Using this data, answer the following 5 questions, each worth 10 points 1. Calculate a 95% confidence interval for the mean score in each class, What conclusions can we draw from this? 2. Calculate a 95% confidence interval for the difference between the two...

  • Question Four Total 25 Marks 4 marks (i) Distinguish between Type I and Type Il errors...

    Question Four Total 25 Marks 4 marks (i) Distinguish between Type I and Type Il errors in hypothesis testing (i) Nineteen employees working in the call centre of a bank were chosen at random from the workforce and agreed to assist in the assessment of two different training programmes (A and B).Each employee was then given a performance score (measuring a range of aspects of their work) expressed as a mark out of a possible maximum of 100. The results...

  • You have two groups of apples (data below). You want to see if there is a...

    You have two groups of apples (data below). You want to see if there is a statistical differnce between the two groups. Run descriptives and a two tailed, two sample assuming equal variance t-test. Here's your data: Weight of Apples in Grams Apple ID Farm A Farm B 1 131 151 2 147 159 3 134 162 4 134 158 5 136 159 6 137 160 7 140 150 8 134 160 9 136 160 10 133 160 11 134...

  • In this exercise, you will investigate the relationship between a worker's age and earnings. (Generally, older...

    In this exercise, you will investigate the relationship between a worker's age and earnings. (Generally, older workers have more job experience, leading to higher productivity and earnings.) The following table contains data for full-time, full-years workers, age 25-34, with a high school diploma or B.A./B.S. as their highest degree. Download the data from the table by clicking the download table icon 0 . A detailed description of the variables used in the data set is available here Use a statistical...

  • please peovide coding in R: with a data of 13 variables and 200 observations Using the...

    please peovide coding in R: with a data of 13 variables and 200 observations Using the variable CLASS, test at 5% significance level to test the claim that the proportions of Freshmen, Sophomores, Juniors, and Seniors are the same. 2. Repeat part (a) for the variable COLLEGE. RLM ENGLISH MATH COMP 21 16 25 839SSESSOR 8 F 17 F N H ABCD 1 SEX HSP GPA AGE CREDITS CLASS COLLEGE MAJOR RESIDENCY TYPE 2 Transfer Blochm Resident F 75 2.39...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT