Scatterplot: Answer A
Sample size, n = | 6 |
Ʃ x = | 399.8 |
Ʃ y = | 30.3 |
Ʃ xy = | 2313.86 |
Ʃ x² = | 28113.72 |
Ʃ y² = | 242.95 |
x̅ = Ʃx/n = | 66.63333333 |
y̅ = Ʃy/n = | 5.05 |
SSxx = Ʃx² - (Ʃx)²/n = | 1473.713333 |
SSyy = Ʃy² - (Ʃy)²/n = | 89.935 |
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = | 294.87 |
Correlation coefficient, r = SSxy/√(SSxx*SSyy) = 0.810
Null and alternative hypothesis:
Ho: ρ = 0
Ha: ρ ≠ 0
Test statistic : t = r*√(n-2)/√(1-r²) = 2.76
df = n-2 = 4
p-value = T.DIST.2T(2.76, 4) = 0.051
Because the P-value of the linear correlation coefficient is more than the significance level, There is not sufficient evidence to support the claim that there is a linear correlation between internet users and scientific award winners.
Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people...
Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.05. Internet Users 81.1 78.1 56.9 68.3 79.5 38.6 Award Winners 5.4 9.2 3.3 1.8...
Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.05. 79.7 57.3 Internet Users Award Winners 80.1 5.6 68.2 1.8 76.6 11.1 39.1 0.1...
Internet Users versus Award Winners Question Help x par correlation coefficient r, and find the P-value ofr. The accompanying table lists the numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for diffe Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a=0. Click to view the data on Internet users and scientific award winners. 20.3 Construct a scatterplot....
Listed below are numbers of net users per 100 people and numbers of scienti a rd Winers per 10 million people for different countries Construct a scrit find the value of the linear correlation coefficient and find the value of Determine whether there is intendence support a claim ofiar correlation between the two varias a significance level of 0.05 Internet Users 784 205 63 685 773 810 Award Winners 54 9 33 17 11 Determine the null and alternative hypotheses...
The test statistic is...............(Round to two decimal places as needed.) The P-value is.......................(Round to three decimal places as needed.) The test statistic t is .................. (Round to three decimal places as needed.) The P-value is.............................(Round to three decimal places as needed.) The P-value for this hypothesis test is 0.2300.230. (Round to three decimal places as needed.) Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct...
The best predicted number of Nobel Laureates when the number of internet users per 100 is 79.9 is...........(Round to one decimal place as needed.) Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) X у 10 7.46 8 6.78 13 12.73 9 7.11 11 7.82 14 8.85 6 6.08 4 5.39 12 8.15 7 6.43 5 5.73 Click here to view a table of critical values for the correlation coefficient. a. Construct a...
Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using a=0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 72 7.8 9.7 9.4 8.7 8.3 Weight 117 205 241 201...
Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alpha equals0.05. Budget_(x) Gross_(y) 61 66 88 69 53 51 40 56 203 598 101 141 85 48 Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross receipts? Do the results change if the actual...
The best predicted number of Nobel Laureates when the number of internet users per 100 is 78.4 is ....... round to one decimal place as needed The best predicted gross for a movie with a $10 million budget is ...........million. (Round to one decimal place as needed.) Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.4 Internet users per 100 people. How does...
Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using α= 0.05, is there sufficient evidence to conclude that there is a linear correlation between overhea widths of seals from photographs and the weights of the seals? 8.2 114 168 24693 209 183 9.8 9.2 8.9 Overhead Width 7.1...