**Instructions: Linear Regression Calculation**Using your calculator, run a linear regression to determine the equation of the line of best fit. - **Rounding Instructions**: Round your final answer to two decimal places.- **Variable Specification**: Use "x" as the variable in your equation.**Input Field:**\[y = \_\_\_\_\_\_\]**Button:**- **Submit Question**This exercise will help you understand how to find the relationship between variables using linear regression, an essential statistical method. Remember to check your calculator’s manual for specific steps on performing a linear regression. **Experiment Overview: Mass of an Object Over Time**An experiment is conducted to measure the mass of an object over time. The results are displayed in the table below:| **Time (min)** | **Mass (g)** ||----------------|--------------|| 10 | 26 || 18 | 24 || 23 | 20 || 26 | 16 || 32 | 9 |**Instructions for Plotting:**You are provided with a blank grid to plot the data points from the table above. The horizontal axis (x-axis) represents time in minutes, and the vertical axis (y-axis) represents mass in grams. - Plot each point using the corresponding time and mass values.- Connect the points to visualize the change in mass over time.The grid is marked in increments of 5, from 0 to 50 on both axes.Feel free to use the "Clear All" button to erase your plot and start over if necessary, and the "Draw: Dot" option to place the points accurately on the grid.

Steps to draw scatter plot using Excel: Enter the data in different columns in Excel spreadsheet.…

Answered: Jsing your calculator, run a linear…

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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. Hourly Wage A manuscript translator charges astarting fee of $50 plus $2.50 per page translated. Writea linear equation for the amount A earned for translatingp pages.
The table and scatter plot show the number of years of experience, x, and the hourly pay rate, v, for each of 11 cashiers in Florida. The equation of the line of best fit is y= 0.9x+8.02. Experience, x | Hourly pay rate, y (in years) (in dollars) 22 0.8 7.42 20- 1.0 9.71 18- 16- 1.3 8.00 Hourly 14- 2.0 9.08 pay rate 12- (in dollars) 3.3 11.40 10 3.6 12.12 8. 3.8 13.00 6. 5.0 14.50 7.0 12.40 8.6 15.46 10 Experience (in years) 8.8 15.87 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed hourly pay Predicted hourly pay Number of years of experience Residual rate (in dollars) rate (in dollars) (in dollars) 5.0 7.0
Height Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus Other 67 138 4 6 2 1. 2 26 6. 1 73 175 3.47 5 4 26 1 62 112 4 6 2 1. 4 34 3 1 1. 64.5 122 3.5 3.4 1. 3 47 4 1 1. 69 135 4 4 2 4 13 1. 61 129 3.8 4 2 3 5 17 1. 1. 64 135 3.4 3 2 5 1. 1 1. 68 150 4 10 1 4 2 31 4 1 1 70 130 3.8 4 1 2 4 2 26 8. 1 65 172 3.6 2.5 1.5 0.5 4 2 26 8. 1 74 235 2.6 1. 1. 1. 4 3 52 1. 69 150 3 2 3 3 4 3 26 1. 72 152 2.8 2.5 0.5 3 5 3 30 10 1. 73 155 3 1. 2 4 2 26 1 74 170 3.75 1.5 1.5 2 15 5 1. 68 150 3 2.5 1. 4 3 26 10 1 63 115 2.5 3 2.5 3 2 13 8 1. 1 71 180 2.1 1 3 3 4 13 10 1 72 167 2.7 2. 4 4 2 18 3 72 180 3.8 2 1.5 0.5 1. 300 68.575 152.6 3.341 3.395 1.55 1.75 4.1 2.2 38.25 5.8 s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723 0.695852 62.7215 2.587419 ------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ------ ----- ---- ---- --
Use linear regression on your calculator to find the equation of the linear function that best fits this data. 1 3 4 5 6 y 84 110 139 170 180 222 = mx + b. Round all numbers to 2 decimal Hint: Write your final answer as an equation in the form y places.
The table and scatter plot show the number of years of experience, x, and the hourly pay rate, y, for each of 10 cashiers in Arizona. The equation of the line of best fit is y = 0.9xr+8.22. Experience, x Hourly pay rate, y (in years) 22 (in dollars) 20+ 0.8 7.47 18- 1.1 9.46 +16- Hourly 2.2 8.91 14+ pay rate 3.1 11.46 (in dollars) 124 10 3.8 12.31 3.8 13.00 6- 5.0 14.50 6.9 12.40 8.5 15.44 10 10 11 8.8 15.79 Experience (in years) Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed hourly pay Predicted hourly pay Number of years Residual (in dollars) rate rate of experience (in dollars) (in dollars) 5.0 6.9
Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y= mx +b X y 1 92 2 110 4 5 3 139 160 171 6 196
Let ŷ represent the profit (in thousands of dollars) for a certain company xx years after 1965. A statistician calculates a linear model ŷ = 0.38xx + 15Use the model to estimate the profit in 1973. Your answer should be in dollars, not thousands of dollars.Profit =$
Find the equation of the line of best it from the data in the table. Round the slope and the y-intercept to the nearest hundredth. x0345 12 8269 12 O A y=0.53x+4.88 OB. y=0.63x+4.88 Oc. y=043x+4.98 O D. y=073x +4.98
Use linear regression to find the equation for the linear function that best fits this data. Click Read Button For online regression calculator. Round both numbers to two decimal places. Write your final answer in a form of an equation y=mx+by=mx+b x 1 2 3 4 5 6 y 74 90 109 123 143 155

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Jsing your calculator, run a linear regression to determine the equation of the line of best fit. Round to two decimal places, use x for the variable.