Question 3 (a) A study was conducted to determine the relationship between unemployment rates and the...
A study was conducted to analyze whether there is a linear relation between the number of customers who visited a store and the total sales at that store. The following data was collected over a period of 14 days(a) What is the dependent and independent variable? (b) Prepare a scatter plot. What is the direction of correlation?(c) What is the equation of the regression line? d) What is the coefficient of determination (r) and interpret the meaning of it. (e) Calculate the correlation coefficient...
(a) The production manager of ABC Co. Ltd. has found that the relationship between production cost (y in $) and lot size (x in units) of a certain product is linear. A random sample of eight lots is taken and the results are summarized as below: Xx=941, Xx? = 325751, y=9570, y =32849700 and X xy = 3271030 (i) Find the least squares linear regression equation for predicting production cost on lot size. (4 marks) (ii) Calculate the coefficient of...
A researcher measures the relationship between Internet use (hours per week) and social interaction (hours per week) in a sample of 10 students. The following table lists the hypothetical results of this study. Social Interaction Internet Use Y X 4 8 7 4 6 7 12 7 3 6 1 11 10 2 (a) Compute the Pearson correlation coefficient. (Round your answer to three decimal places.) (b) Compute the coefficient determination. (Round your answer to three decimal places.) (c) Using...
The median household income in the U.S. with the unemployment and poverty rates for various years from 1990 to 2003 are compared in the table. Median Household Unemployment Rate (%) Poverty Rate (%) Year Income ($1000) 1990 39 5.5 12 1992 38 7 14 1994 39 6.2 14 1996 41 5.2 13 1998 44 4.4 11 2000 42 4 10 2002 41 5.7 11 2003 40 6.2 12 (a) Use x unemployment rate and y poverty rate to obtain the...
A study was conducted to examine the relationship between variable X (independent variable) and Y (dependent variable). The Excel output is given in the "Graphs Document". A data point in the above regression is (x,y) = (191,382). What is the residual of this data point? O 72.36 70.33 o o 0-69.75 O 81.25 O None of the options t Intercept X variable Coefficients 95.84 1.13 Standard Error 116.65 0.132 Stat 0.821 8.547 P-value 0.418 0.0000005
In a simple linear regression study between two variables x ( the independent variable) and y (the dependent variable), a random large sample is collected and the coefficient of correlation r = −.98 is calculated. A)Which of the following conclusion may be made? Group of answer choices x and y are almost perfectly correlated, and y increases as x is increased. x and y are almost perfectly correlated, and y decreases as x is increased. x and y are moderately...
A small study is conducted involving 10 infants to investigate the association between gestational age at birth, measured in weeks, and birth weight, measured in grams.: Cured Not Cured Drug 1 37 13 Drug 2 88 21 Total 125 34 Total 50 109 159 Table 1: Gestational age: 34.7, 36, 29.3, 40.1, 35.9, 40.8, 38.3, 37, 41.2, 39.8. Birth weight: 1895, 2030, 1440, 2835, 3115, 4013, 3174, 3625, 2289, 2845. . Find the correlation coefficient r of the gestational age...
Question 4 1 pts Suppose a experiment is conducted to study the relationship between the percentage of a certain drug in the bloodstream (X) and the length of the time it takes to react to a stimulus (Y). The results are below. X 2 1 4 3 5 Y 1 1 2 2 4 z = 15, Ey=10, 22 = 55, y = 26, ry= 37. Find the coefficient of correlation between x and y. 0 -0.85 O 0.85 O...
3. United Park City Properties real estate investment firm took a random sample of five condominium units that recently sold in the city. The sales prices Y (in thousands of dollars) and the areas X (in hundreds of square feet) for each unit are as follows Y= Sales Price ( * $1000) 36 80 44 55 35 X = Area (square feet) (*100) 9 15 10 11 10 The owner wants to forecast sales on the basis of the...
Question 2 (a The following table shows the solid reduction and oxygen demand reduction of an experiment. d Reduction, 1|Oxygen Demand Reduction, y(%) 20 16 28 35 27 10 (i) Calculate Σ, Υ ,Σ and (2 marks) (ii) Find the inear regression ne of oxygen demand solid reduction on (6 marks) iii) Estimate the oxygen demand reduction if the solid reduction is 40%. Comment on the reliability of your estimation. (3 marks) iii Find the coefficient of correlation. Hence, comment...