The Kak Ramah company supplies vegetables to shop as wholesales. The demand for the vegetables depends on the price per kilograms (kg). the data are shown in the following table. Price per 20 22 24 26 28 30 32 kg (RM) Demand 700 685 630 580 515 490 450 (kg) a)By using the linear regression line, calculate the number of sales if the price per kg is RM25 b) Calculate the Pearson correlation value and interpret
Q: Determine the value of the dependent variable yˆ at x=0. a.) b0 b). b1 c). x d). y
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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 seven randomly selected students spent studying and their…
A: Hours Studying(x) Midterm Grades(y) 1 72 2.5 78 3 83 3.5 91 4 95 4.5 96 5 97
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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: The table below gives the list price and the number of bids received for five randomly selected…
A: The regression equation is 0.347x-5.818.
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Q: The table below gives the list price and the number of bids received for five randomly selected…
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A: Age Bone Density 35 350 43 340 53 339 54 321 55 310
Q: e table below gives the number of hours spent unsupervised each day as well as the overall grade…
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Q: The table below gives the list price and the number of bids received for five randomly selected…
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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…
A: AgeBone Density3933859316603136531266311
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: The table below gives the age and bone density for five randomly selected women. Using this data,…
A: Given the following table Age 35 43 53 54 55 Bone Density 350 340 339 321 310
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: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: here, data given for 7 students. Therefore, n = 7. The slope is estimated as follows:…
Q: The table below gives the age and bone density for five randomly selected women. Using this data,…
A: From the provided information, The data values are as follow: Age 36 52 58 64 68 Bone Density…
Q: Price in Dollars 116 168 170 184 188 Number of Bids 10 11 15 16 19 Table Step 2 of 6 : Find the…
A: Inependent variable (X) Price in dollars : { 116,168,170,184,188 } Mx = ( 116+..188 ) / 5 =…
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: y=0.0992x-0.0009, R^2 = 0.5206 GPA 3.5 3.0. 2.5 2.0 1.5 АСT 25 30 35 (a) Does this data support the…
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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: The table below gives the list price and the number of bids received for five randomly selected…
A: x y x2 y2 x⋅y 120 11 14400 121 1320 127 15 16129 225 1905 129 17 16641 289 2193 175 18 30625…
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Q: The random sample of 5 school students is selected and their marks in statistics and accountancy are…
A: The regression line are used to predict the future values. There are two types of regression lines,…
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: he table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: We have to find regressiom equation.
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: The regression line equation is given by y = b0 + b1x Where b0 and b1 are intercept and slope of…
Q: The table below gives the number of hours spent unsupervised each day as well as the overall grade…
A: From the provided information, Hours Unsupervised (x) Overall grades (y) 0 99 0.5 98 2 96…
Q: The table below gives the list price and the number of bids received for five randomly selected…
A: The provided information is as follows:The total number of observations is .The data set is given as…
Q: The table below gives the list price and the number of bids received for five randomly selected…
A: From the provided information, Price in Dollars 106 108 117 181 193 Number of bids 10 15 16 17…
Q: E Find the estimated y-intercept. Round your answer to three decimal places.
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Q: he table below gives the number of hours seven randomly selected students spent studying and their…
A: Follow the below the instruction to obtain the scatter plot. Use EXCEL to construct the scatter…
Q: The table below gives the age and bone density for five randomly selected women. Using this data,…
A:
Q: The table below gives the list price and the number of bids received for five randomly selected…
A: It is given that-x=List pricey=Number of bidsThe data for x and y is given as-xy203304355426499
Q: Step 6 of 6 : Find the value of the coefficient of determination. Round your answer to three…
A: The data shows the hours studying and midterm grades.
Q: he table below gives the age and bone density for five randomly selected women. Using this data,…
A: The table below gives the age and bone density for five randomly selected women: Age 34 45 48 60…
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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…
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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 =…
Q: number of bids received for five randomly selected items sold through online auctions. Using this…
A:
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- In a sample of cars reviewed by Motor Trend magazine, the mean horsepower (hp) was 150 hp with a standard deviation of 36 hp. The mean weight (lbs) was 2500 lbs with a standard deviation of 720 lbs. Assume the relationship between weight and horsepower is linear and has a correlation of r = +0.55. What is the slope of the linear regression model predicting weight (y-variable) from horsepower (x-variable)? 9 13 15 11The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting a woman's bone density based on her age. 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. Age 39 43 46 61 64 Bone Density 352 346 321 314 312 Table Step 1 of 6 : Find the estimated slope. Round your answer to three decimal placesThe table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. 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. Summation Table x y xyxy x2x2 y2y2 Bid 1 2323 11 2323 529529 11 Bid 2 2424 22 4848 576576 44 Bid 3 3232 66 192192 10241024 3636 Bid 4 3737 99 333333 13691369 8181 Bid 5 4949 1010 490490 24012401 100100 Sum 165165 2828 10861086 58995899 222222 Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of…
- The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an item will receive based on the list price. 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. Price in Dollars 23 26 37 41 47 Number of Bids 1 2 4 5 6 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Table Copy Data >Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in xThe table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. 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. Price in Dollars 20 23 26 28 48 Number of Bids 1 4 6 7 9 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: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable y^ is given by? Step 4 of 6:…
- 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.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:…In a fisheries researchers experiment the correlation between the number of eggs in tge nest and the number of viable (surviving ) eggs for a sample of nests is r=0.67 the equation of the regression line for number of viable eggs y versus number of eggs in the nest x is y =0.72x + 17.07 for a nest with 140 eggs what is the predicted number of viable eggs ?
- The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. 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. Price in Dollars 102 137 139 171 186 Number of Bids 10 11 16 17 20 Table Step 6 of 6 : Find the value of the coefficient of determination. Round your answer to three decimal places.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, 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.The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting a woman's bone density based on her age. 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. Age 50 59 60 64 68 Bone Density 331 326 325 320 315 Table Step 1 of 6 : Find the estimated slope, y instercept and correlation coefficient. Round your answers to three decimal places.