5. Given are five observations for two variables, x and y. Given are five observations for two variables, x and y.41091512Yi6047561329a. Choose the correct scatter diagram for these data:А.В.y60605050404030-3020-2010-10102030405060 x102030405060 X Select your answer -b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?There appears to be aSelect your answer -linear relationship between x and y.c. Try to approximate the relationship between x and y by drawing a straight line through the data.Select your answer -v to provide a linear approximation of the relationship between x and y.d. Develop the estimated regression equation by computing the values of bo andusing equations: (Enter negative values as negative figure)(t; – 7)(y: – T)b1bo = j – b1x (to 2 decimals)e. Use the estimated regression equation to predict the value of y when x = 16.(to 2 decimals)

The data shows x and y variables with 5 observations.

Answered: b. What does the scatter diagram…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Principal components analysis is best suited for O A. none of these B. highly correlated variables C. all variables D. uncorrelated variables
Suppose the correlation between variables x and y isr = – 1. Also suppose that the data contains the points (6, 14) and (2, 18). Finally, suppose that the x-values in the data set are: æ 2 3 5 6 8 Make a scatterplot of this data set. 20+ 19 18 17 16 15 14 13 12 10 8 6 6
3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
#8
For the following pairs of data points (10, 100), (8, 120), (5, 200), (4, 200), (10, 90); (7, 110) and (6, 150) the relationship between X and Y is Positive Zero None Negative
Let Q,, Q2 and Q, be dummy variables with the value 1 indicating observations are from first, second and third quarters and the value 0 otherwise, respectively. If the investigator estimates company sale measured in million dollars as sale = 4+ 20, +2.5Q2 +30,, then the investigator: O a. forecasts sale for the first quarter to be 3.5 m$. O b. forecasts sale for the first quarter to be 3 m$. O c. forecasts sale for the first quarter to be 1 m$. O d. forecasts sale for the last quarter to be 8.5 m$. e. forecasts sale for the last quarter to be 4 m$.
For the following pairs of data points (10, 100), (8, 120), (5, 200), (4, 200), (10, 90), (7, 110), and (6, 150), the relationship between X and Y is of Zero O a. O b. Negative OC. Positive O d. None
Given are five observations for two variables, x and y. 11 9. 22 18 Yi 59 48 54 13 21 a. Choose the correct scatter diagram for these data: A. y y 60 60 50 50 40 40 30 30 -20 20 10+ 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x C. D. y y 60 60 50 50 40 40 30 30 B.
I need help on Part D
For each scenario below name one categorical and one quantitative used and write the complete answer in the box below. a) 9 randomly selected patients with 4 blood types (A , B, O, AB) were tested for their body temperature. Categorical variable: Quantitative variable: b) 10 faculty members from the Physics, Psychology and Biology department were asked about their annual salary. Categorical variable: Quantitative variable:
The following observations are for two quantitative variables, and y. Observation Observation 1 27 63 11 21 81 2 24 100 12 85 24 3 58 53 13 67 39 4 73 38 14 15 99 TITI 5 48 62 15 82 37 6 88 23 16 32 63 7 30 47 17 44 56 8 10 93 18 54 64 9 66 46 19 31 27 10 61 52 20 30 28 If your answer is "zero", enter "0". a. Develop a crosstabulation for the data, with as the row variable and y as the column variable. For use classes of 10 - 29, 30-49, and so on; for y use classes of 20 - 39, 40-59, and so on. y x 80-100 Grand Total 20 - 39 40 - 59 60 - 79 X X X 10-29 X X X X 30-49 X X X X X 50-69 X X X X 70 - 90 Grand Total b. Compute the row percentages (to 1 decimal). Y I 20 - 39 40-59 80 - 100 Grand Total X% 10-29 30-49 X% % % 50 - 69 X % *% 70-90 c. Compute the column percentages (to 1 decimal). Y 20 - 39 40 - 59 *% 10 - 29 % 30-49 50 - 69 70 - 90 Grand Total % 1% % % *% 60 - 79 % % 1% % ¹% X % % X. % % 60 - 79 X. % *% X% % % X% X % *% % 80-100 * % % % 1% X% % *% 1% %
3. Caloulate r and ŕ for the data set. -5 -4 -3 -2 -10 1. 4. 9. Calculate r. (Round to four decimal places as needed.) Calculate r =(Round to four decimal places as needed.)

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