a) Yes. We can see that the value of decreases as the value of increases. So there is an inverse relationship between . So the sign of the correlation is negative.
b) Yes. We can see that the values of x and y aligns almost in a straight line. A perfect straight line will have correlation .
Since the sign is negative and the values are almost in a straight line, the claimed value is plausible.
c) The correlation coefficient is calculated as
False.
When the value of is doubled, are doubled and are quadrupled.
Thus,
The correlation coefficient is the same.
d) False. We see if you interchange x and y, the formula remains the same.
e) Yes. The value of y is dependent on x.
Question 7 (Unit 9) 10 marks Figure 2 shows a scatterplot of r and y values...
please do a, b and c Wuestion Help 10- Refer to the accompanying scatterplot a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient and determine whether there is a linear correlation c. Remove the point with coordinates (2.1) and find the correlation coefficient and determine whether there is a linear correlation. d. What do you conclude about the...
front and bakc page DUUNIO ISI 1 Scatterplot The following scatterplot shows a relationship between x and y that results in a correlation coefficient of r=0. Explain why 0 in this situation even though there appears to be strong relationship between the x and y Variables Scatterplot of ysx 2 Multiple Choice All but one of the statements below contain a mistake. Which one could be true? a) If the correlation between blood alcohol level and reaction time is 0.73,...
x=c( 13, 18, 36, 43, 45, 116) y=c( 270, 350, 470, 500, 560, 1280) # Construct a scatterplot using R. plot(x,y) # Calculate the least squares regression line mod = lm(y~x) summary(mod) # Correlation cor(x,y) (b) From the R output give the equation of the estimated regression line. (Round all numerical values to two decimal places.) (c) What is the correlation coefficient r? (Round your answer to three decimal places.) (d) Because the largest x value in the sample greatly...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Question 3. For each of the following data sets use R to i) sketch a scatterplot and the line of best fit. ii) calculate the covariance, correlation and r2 values. Interpret each number. Data set 1. x: -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6 y: -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1 Data set 2. x: 1, 2, 3, 4, 5, 6, 7 y: 5.1, 8.0, 15.5, 10.3,...
4 Scatterplots Match these values of r with the five scatterplots shown here and the next page: 0.268, 0992.-1, 0.746, and 1 . on y 14 12 00 a1 02 30405 0.6 0.7 0.8 0.9 OS 0.6 07 Graphs in Statistical A plore! Exercises 9 and 10 provide two data sets from " by E J. Anscombe, The American Statistician, Vol. 27. For each exercise a. Construct a scatterplot b. Find the value of the linear correlation coefficient r, then...
Consider the following sample data: x 8 10 7 5 2 y 11 2 7 4 8 Click here for the Excel Data File a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) b. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.)
f 2. Figure 10 shows a constraint 9 (x, y) = 0 and the level curves of a function f. In each case, determine whether has a local minimum, a local maximum, or neither at the labeled point. 4 3 2 Vf Vf 4 3 2 А B g(x, y) = 0 g(x, y) = 0 Rogawski et al., Multivariable Calculus, 4e, © 2019 W. H. Freeman and Company FIGURE 10
EQuesion Hep * Reler to the accompanying scatterplot a. Examine the pattern of all 10 points and subjectively determine whother thore appears to be a strong comelation between x and y b. Find the value of the comelation coeficient r and determine whether there is a linear comelation c. Remove the point with coondinates (10,10) and find the comelation coefficient r and determine whether there is a linear corelation d. What d you conclude about the possible eect hom a...
Answer the following question by showing the codes in R 2. Consider the dataset mtcars and suppose we are interested in modeling the mpg of a vehicle based on a single variable presented in the dataset. a) Use the cor ) function in R, apply it to only numerical variables in the dataset. Identify the numerical variable that shows the most significant correlation, and generate a scatterplot between this variable and mpg. b) Use the 1m() function in R to...