5. Calculate the regression equation for the following data and also computes Karl Pearson's co- efficient of correlation. No. of Students (X): 800 600 900 700 500 400 No. of passed (Y): 480 300 450 560 450 310 S Scanned with CamScanner
Q: The table below gives the number of hours seven randomly selected students spent studying and their…
A: Hours Studying 0.5 1 1.5 2 3 3.5 4.5 Midterm Grades 63 66 68 72 74 93 94
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: Here the given table is Hours Unsupervised :- 0 1 3 4 5 Overall Grades :- 95 92 85 81 62 We…
Q: The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample…
A: Data given X: 36,37,38,39,40 Y: 4.9,5.3,5.8,6.2,6.7
Q: The table below gives the number of hours seven randomly selected students spent studying and their…
A: N=7 Hours Studying 1 1.5 2 2.5 3 3.5 4.5 Midterm Grades 61 62 75 77 79 83 88
Q: A football coach is looking for a way to identify players that are "under weight". The coach decides…
A: The regression equation is y=-56+3.6x.
Q: The coefficient of determination of a set of data points is 0.784 and the slope of the regression…
A: The following information has been provided: The coefficient of determination is R2=0.784. The slope…
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: The independent variable is Hours Unsupervised The dependent variable is Overall Grades We have to…
Q: The coefficient of determination of a set of data points is 0.87 and the slope of the regression…
A: Given: Coefficient of determination (R square)= 0.87 Slope of regression line = -2.86
Q: = The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: We have given that, The data set are :- Hours unsupervised (X) :- 1.5, 2, 3, 4, 5, 5.5, 6 Overall…
Q: A dataset containing 8 ordered pairs (xy) has a linear correlation coefficient of 0.950. The…
A: Given equation is y=55r-15
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: Coefficient of determination is denoted by r2
Q: A particular professor has noticed that the number of people, P, who complain about his attitude is…
A: It is required to obtain the linear regression equation, and also find the correlation between the…
Q: A football coach is looking for a way to identify players that are "under weight". The coach decides…
A: 198.24 pounds Here we are interested in finding lower confidence bound for x=67 y= -58+4(67) y= 210…
Q: A football coach is looking for a way to identify players that are "under weight". The coach decides…
A: Given: The provided regression equation is:…
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: Given data and calculation is shown below Hours(x) Grades(y) x2 y2 xy 0 87 0 7569 0 1 86 1…
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: Hours Unsupervised(x) Overall Grades(y) 1 99 2 81 2.5 73 3.5 72 4 67 5.5 65 6 63
Q: The table below gives the number of hours seven randomly selected students spent studying and their…
A: The data is defined below as follows: From the information, given that
Q: The table below gives the number of hours seven randomly selected students spent studying and their…
A: The data is defined below as follows: From the information, given that
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A:
Q: mean of M = 580 with SS = 22,400, and the GPAs have a mean of 3.10 with SS = 1.26, and SP = 84.…
A:
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: The independent variable is Hours Unsupervised. The dependent variable is Overall Grades. This is…
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: Here the given information is The table below gives the number of hours spent unsupervised each day…
Q: The table below gives the number of hours seven randomly selected students spent studying and their…
A: The value of slope is obtained below as follows: From the information, given that The value of…
Q: Sir Francis Galton, in the late 1800s, was the first to introduce the statistical concepts of…
A: xy186.7174.9190.1185.7173.9178.6193.2189.8181.7189.0171.6182.3188.0187.9157.4175.1201.8190.3160.1173…
Q: Sir Francis Galton, in the late 1800s, was the first to introduce the statistical concepts of…
A: The following data is given, Height of father, x (in cm) Height of son, y (in cm) xy 192.7…
Q: From a regression equation r2= 0.39 and the slope = -2.8 What is the linear correlation coefficient…
A: Given information: The value of the slope is b=-2.8. The value of r2=0.39.
Q: Last years Data Management class decided to see if there was a relationship between the score (out…
A: We have given the last years data management class decided to see if there was a relationship…
Q: coefficient is -0.281 and the regression equation is = 27.68 2.2x. The mean for the x data values…
A:
Q: Using the data, the mad scientist wishes to compute a regression equation to predict future Werewolf…
A:
Q: After performing a statistical regression on a set of data the value of the correlation coefficient…
A: Correlation: The extent linear relation between the two variables is called as correlation. Positive…
Q: The following table gives the data for the average temperature and the snow accumulation in several…
A:
Q: The table below gives the number of hours five randomly selected students spent studying and their…
A:
Q: The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample…
A: The regression equation is obtained below: x y X^2 Y^2 XY 33 6 1089 36 198 34 6.1 1156 37.21…
Q: Hours Studying 1 1.5 2 2.5 3 3.5 4.5 Midterm Grades 61 62 75 77 79 83 88 Table Step 1 of 6 :…
A: Hours studying (X) : { 1,1.5,2,2.5,3,3.5,4.5 } Midterm Grades (Y) : { 61,62,75,77,79,83,88 } N =…
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- The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for five randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 2 3 4 5 6 Overall Grades 94 86 79 71 62 Table Step 1 of 6 : Find the estimated slope, y intercept and correlation coefficient Round your answer to three decimal places. AnswerThe amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. Bill 32.98 49.72 52.44 64.30 97.34 88.01 Tip 4.50 5.28 7.00 7.70 16.00 10.00 (a) Find the correlation: r= (c) The regression equation is y^= . (d) If the amount of the bill is $90, the best prediction for the amount of the tip is $ .Note: Enter your answer as a number xx.xx (e) According to the regression equation, for every $5 increase in the bill, the tip should INCREASE or DECREASE) by $ .The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 1 2 3 4 4.5 5 5.5 Overall Grades 98 95 93 90 89 72 69 Table Copy Data Step 1 of 6 : Find the estimated slope. Round your answer to three decimal places.
- The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected babies. Using this data, consider the equation of the regression line, y = bo + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Weeks of Gestation 33 34 36 38 41 Weight (in pounds) 6 6.1 6.8 7.3 7.9 Table Copy Data Step 4 of 6: Find the estimated value of y when x = 36. Round your answer to three decimal places.Sir Francis Galton, in the late 1800s, was the first to introduce the statistical concepts of regression and correlation. He studied the relationships between pairs of variables such as the size of parents and the size of their offspring. Data similar to that which he studied are given below, with the variable x denoting the height (in centimeters) of a human father and the variable y denoting the height at maturity (in centimeters) of the father's oldest son. The data are given in tabular form and also displayed in the Figure 1 scatter plot. Height of father, X (in centimeters) 157.4 178.6 200.6 174.2 187.2 176.2 184.0 172.5 190.5 160.8 171.6 183.5 191.5 190.7 162.1 Height of son, y (in centimeters) 174.8 189.5 191.3 179.0 175.4 174.5 177.6 170.5 187.4 171.7 181.6 188.8 191.2 194.3 167.6 Send data to calculator V Send data to Excel What is the value of the slope of the least-squares regression line for these data? Round your answer to at least two decimal places. 210- What is the…The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 0 0.5 1.5 2 2.5 3 4.5 5 5.5 6 Midterms Grades 60 63 64 69 73 76 82 90 91 95 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Step 3 of 6: Determine if the statement "All points predicted by the linear model fall on the same line" is true or false Step 4 of 6:…
- The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 0 1 2 3 5 Midterm Grades 68 69 73 77 85 Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places. Table Copy DataThe table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y = bo + bjx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 0.5 1.5 2.5 3 4 4.5 6 Overall Grades 89 86 81 79 72 67 62 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.
