A study is conducted to determine the simple linear regression relation (if any) between average temperature...
A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model:
| Average Temperature and Ice-cream Sales | |||
|---|---|---|---|
| Average
Temperature over a Week (°F) |
Weekly Ice-cream
Sales ($'000s) |
||
| 75 | 320.196 | ||
| 63 | 277.912 | ||
| 64 | 280.789 | ||
| 45 | 213.996 | ||
| 66 | 288.003 | ||
| 83 | 348.772 | ||
| 74 | 316.879 | ||
| 47 | 221.67 | ||
| 42 | 204.195 | ||
| 73 | 313.072 | ||
| 50 | 232.421 | ||
| 50 | 231.301 | ||
Calculate the slope (b1) and intercept (b0) of the simple regression equation using the data provided. Give your answers to 2 decimal places.
(a)Slope = b1 =
(b)Intercept = b0 =
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A study is conducted
to determine the simple linear regression relation (if any) between
average temperature...
A study is conducted to determine the simple linear regression relation (if any) between average temperature...
A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model Average Temperature and Ice-cream Sales Weekly Ice-cream Sales Average Temperature over a Week (oF) 64 35 58 48 73 91 65 52 36 84 37 30 ($'000s) 177.041 118.477 164.065 144.705 194.215 230.063 177.767 152.149 121.353 215.591 123.129 108.847 Calculate the slope...
A study is conducted to determine the simple linear regression relation (if any) between average temperature...
A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model: Sales Average Temperature Weekly Ice-cream Sales over a Week (°F) 54 74 85 37 36 94 52 45 38 98 54 (s'000s) 287.883 181.983 228.343 254.575 141.089 139.097 277.223 177,129 160.095 144.061 285.981 181.233 Calculate the slope (bi) and intercept (bo) of...
- 1 of 11 ID: MST.SLR.REE.03.0030 [2 points] A study is conducted to determine the simple...
- 1 of 11 ID: MST.SLR.REE.03.0030 [2 points] A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model: Average Temperature and Ice-cream Sales Average Temperature over a Week (°F) 58 Weekly Ice-cream Sales ($'000s) 70.736 77.636 62.986 83.276 80 35 98 81 77.806 64.196 40 63 71.206 78 76.296 64.676 40 83...
the given table shows a relation between students attendance percentages and their final grades Week 8...
the given table shows a relation between students attendance
percentages and their final grades
Week 8 Ašsignment: Performing Linear Regressions with Technology Excel The given table shows a relation between students' attendance percentages and their final grades. Find the best fit linear regression equation, where attendance is the explanatory variable. Round the slope and intercept to two decimal places. Attendance Percent Grade 90 94 30 62 40 63 60 70 67 78 70 85 95 96 79 90 54 67...
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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...
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correlation and regression The director of sales at a large ice-cream parlor company want to see...
correlation and regression
The director of sales at a large ice-cream parlor company want to see if there is a relationship between Ice-cream sales and temperature. They have 15 different parlors from all over the country report on their sales total for a day in the week and what the hi temperature temperature was that day. The data collected is given below. 1. What conclusion can be drawn 2. Predict the amount of money a parlor would make when the...
A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model Average Temperature and Ice-cream Sales Weekly Ice-cream Sales Average Temperature over a Week (oF) 64 35 58 48 73 91 65 52 36 84 37 30 ($'000s) 177.041 118.477 164.065 144.705 194.215 230.063 177.767 152.149 121.353 215.591 123.129 108.847 Calculate the slope...
A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model: Sales Average Temperature Weekly Ice-cream Sales over a Week (°F) 54 74 85 37 36 94 52 45 38 98 54 (s'000s) 287.883 181.983 228.343 254.575 141.089 139.097 277.223 177,129 160.095 144.061 285.981 181.233 Calculate the slope (bi) and intercept (bo) of...
- 1 of 11 ID: MST.SLR.REE.03.0030 [2 points] A study is conducted to determine the simple linear regression relation (if any) between average temperature over a week and ice-cream sales in a particular city. The following table provides the regression data required to construct the model: Average Temperature and Ice-cream Sales Average Temperature over a Week (°F) 58 Weekly Ice-cream Sales ($'000s) 70.736 77.636 62.986 83.276 80 35 98 81 77.806 64.196 40 63 71.206 78 76.296 64.676 40 83...
the given table shows a relation between students attendance
percentages and their final grades
Week 8 Ašsignment: Performing Linear Regressions with Technology Excel The given table shows a relation between students' attendance percentages and their final grades. Find the best fit linear regression equation, where attendance is the explanatory variable. Round the slope and intercept to two decimal places. Attendance Percent Grade 90 94 30 62 40 63 60 70 67 78 70 85 95 96 79 90 54 67...
correlation and regression
The director of sales at a large ice-cream parlor company want to see if there is a relationship between Ice-cream sales and temperature. They have 15 different parlors from all over the country report on their sales total for a day in the week and what the hi temperature temperature was that day. The data collected is given below. 1. What conclusion can be drawn 2. Predict the amount of money a parlor would make when the...
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