Consider the average family income and annual savings of nine families shown below. Test the significance of your computed correlation coefficient at a=0.05. * Annual Income (in P10,000) (X) 41 44 47 50 53 56 59 61 64 56 59 Annual Savings (in P10,000) () 3. 4 7. 8. 6. 10 8. 9, 4)
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Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights…
A: Given: Width Weight 7.1 114 7.5 155 9.8 249 9.3 197 8.8 200 8.1 182
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Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
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Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: Use EXCEL to obtain the value correlation coefficient r: EXCEL procedure: Go to EXCEL Go to…
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…
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A: 2) a) The slope is, b=n∑xy-∑x∑yn∑x2-∑x2=5×33974-409×4135×33643-4092=953934=1.020343≈1.0203 The…
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A: Following table can be constructed as: x y xi-x¯ yi-y¯ xi-x¯yi-y¯ xi-x¯2 yi-y¯2 44.15 17.4…
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A: We have to calculate correlation coefficient between two variables .
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: Solution
Q: The average remaining lifetimes for men of various ages in a certain country are given in the…
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Q: A)A set of n=12 of X and Y values produces a Pearson correlation of r= -0.70.Is this a positive of…
A: Given: The sample size is n=12. The correlation coefficient is r= -0.70.
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A: Consider that overhead width is x and weight is y.
Q: The average remaining lifetimes for men of various ages in a certain country are given in the…
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Q: a. What is the value of the correlation coefficient?
A: Here use formula for correlation coefficient Take x = midterm score y = final scores
Q: The correlation coefficient, rr, is a number between 0 and 1 -10 and 10 −∞-∞ and ∞∞ 0 and 100 0…
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Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
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Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: Step-by-step procedure to draw scatter plot using Excel: In Excel sheet, enter Width and Weight in…
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: Solution
Q: The average remaining lifetimes for men of various ages in a certain country are given in the…
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Q: What information is provided by r (the correlation coefficient)?
A: Note: Thank you for the question. Since multiple questions are posted, according to our policy, we…
Q: isted below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
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Q: 9. Compute the correlation coefficient, r, from the given table of data using a graphing calculator…
A: We haver= ∑i=1n(xi-x¯)(yi-y¯)∑i=1n(xi-x¯)2∑i=1n(yi-y¯)2n = 10 x¯ = -4-3-2-1+1+2+3+4+5+610=1.1y¯ =…
Q: The weight (in pounds) and height (in inches) for a child were measured every few months over a…
A: Correlation coefficient quantifies the strength and direction of relationship between variable. The…
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A: Here use Pearson correlation coefficient formula
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: We have given that, X :- 7.2, 7.6, 9.8, 9.2, 8.8 , 8.3 Y:- 115, 176, 249,…
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: a) overhead width weight 7 107.00 7.7 174.00 9.8 248.00 9.2 196.00 8.8 202.00 8.3…
Q: Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in…
A: From given data, X Y X*Y X*X Y*Y 7.1 114 809.4 50.41 12996 7.6 180 1368 57.76 32400 9.8 248…
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A: The scatter plot is obtained using EXCEL. The software procedure is given below: Enter the data.…
Q: Which of Pearson's r values below indicates the strongest correlation? notice the negative signs and…
A: The correlation value is always between -1 and 1.
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Q: 014 44.15 17.4 2015 44.72 21.19 2016 45.26 22.3 2017 44.58 18.92
A: Following table can be constructed as:
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- A survey of 28 employed workers found that the correlation coefficient between the number of years of post-secondary education and current annual income in dollars is -0.38. The researchers hypothesize a positive relationship between number of years of post-secondary education and annual income. What can the researchers conclude with α = 0.05? a) Obtain/compute the appropriate values to make a decision about H0. critical value= test statistic= b) effect size= C) 1)There is a significant positive relationship between years of post-secondary education and current annual income. 2)There is a significant negative relationship between years of post-secondary education and current annual income. 3) There is no significant relationship between years of post-secondary education and current annual income.As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. (4 pts. total) Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Compute the F statistic and test the significance of the relationship at a 0.05 level of significance
- Compute the value of the correlation coefficient. Round answer to at least three decimal places.Even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. a. Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r. b. If the sample had n = 25 participants, is the correlation significant? Again, use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. a. Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r. please don't use excel to find the P - value. b. If the sample had n = 25 participants, is the correlation significant? Again, use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r. show all work. please don't use excel to find the P - value.
- A study was done to compare the flu incidence rates at the sart and at the end of winter of a given year. A sample of 100 persons were asked for incidence of flu twice: once at the start and once at the end of winter. Sample data were as follows: a. Give 99% CI for the difference in flu incidence rates at the start and at the end of winter? b. Compute a measure of association between flue incidence at the start and at the end of winter?8 The correlation between monthly sales and advertisement cost for a product in 24 sales centers was found to be 0.45. Find the p-value for testing the direct relationship between these two quantities.The Pearson's correlation coefficient (r) between height and weight of 100 individuals is calculated to be 0.75. At a significance level of 0.05, test the hypothesis that the population correlation coefficient is different from 0.
- Data from a recent year showed that 55% of the tens of thousands of applicants to a certain program were accepted. A company that trains applicants claimed that 135 of the 240 students, it trained that year were accepted. Assume these trainees were representative of the population of applicants. Has the company demonstrated a real improvement over the average? What is the P-value?If I'm trying to find the correlation between A and B using a statistical test, should I consider the distribution of A or distribution of B or distribution of both while selecting a statistical test? My A has numerical discrete data that ranges from 0 to 99 My B is a binomial/ dichotomous data with values 0s and 1s. A - number of times people eat fast food in 30 days - range 0 to 99 - numerical discrete data - positively skewed. B - Obese or not - 0 or 1 - binomial data - normally distributed Please help! I have a submission!. In estimating a regression based on monthly observations from January 1987 to December 2002 inclusive, you find that the coefficient on the independent variable is positive and significant at the 0.05 level. you are concerned, however, that the t-statistic on the independent variable may be inflated because of serial correlation between the error terms. Therefore, you examine the Durbin–Watson statistic, which is 1.8953 for this regression. Based on the value of the Durbin Watson statistic, what can you say about the serial correlation between the regression residuals? are they positively correlated, negatively correlated, or not correlated at all? Compute the sample correlation between the regression residuals from one period and those from the previous period. Perform a statistical test to determine if serial correlation is present. assume that the critical values for 192 observations when there is a single independent variable are about 0.09 above the critical values for 100…