Excel Lab 2: Regression and Goal Seek
In this lab, you will use Excel to determine the equation of the
model which best fits a set of ordered pairs
obtained from data sets. You will enter data, graph the data, find
the equation for the regression model,
and then use that equation to make predictions for the dependent
variable. You will use the goal seek to make
predictions for the independent variable. Then you will consider
how accurate your predictions are.
Part 1
The more a person weighs, the more Calories they burn every minute
when they are walking. The following
table gives the number of Calories a person burns per minute of
walking as a function of their weight in
pounds.
| Weight (lbs) | 100 | 120 | 150 | 170 | 200 | 220 |
| Calories burned per minute | 2.7 | 3.2 | 4.0 | 4.6 | 5.4 | 5.9 |
1. Enter the data into columns A and B on your spreadsheet, in rows
3-9.
2. Highlight your data and create a scatter plot (the first type,
with no lines).
3. Make sure your graph includes a title and that both axes are
labeled.
4. Right click on any data point and choose add trendline from the
menu.
5. Select linear and check the boxes for display equation and show
R2
(if you have Excel 2003 you will have to click on the options tab
to see the last two check boxes).
6. Based on your equation from step 5, state the slope. Explain in
a complete sentence what the slope
means in context of the problem.
7. In the cell, C3 type the equation from step 5.
8. Type the equation in Excel format in cell C4 so that Excel
calculates the number of Calories burned
per minute by a 100 lb person. Drag this formula to cell C9.
9. Compare the actual Calories burned in column B to the
predicted calories burned in column C. How
accurate do you think your model is?
@Please, show your works and upload an Excel sheet.
Thanks.
1)Get data into Excel then
2) click on scatter and 1st option
3)
Click on title and write scatterplot
4)
Then
5)
I have display the equation and R 2
Excel Lab 2: Regression and Goal Seek In this lab, you will use Excel to determine...
Excel Lab 2: Regression and Goal Seek In this lab, you will use Excel to determine the equation of the model which best fits a set of ordered pairs obtained from data sets. You will enter data, graph the data, find the equation for the regression model, and then use that equation to make predictions for the dependent variable. You will use the goal seek to make predictions for the independent variable. Then you will consider how accurate your predictions...
Gross Sales Distance to Neighborhood MedianNeighborhood NeighborhoodNumber Businesses Median Age Parking Dummy Variable Free Parking Nearby Location Day) University (mi) Residential Population within 5 mi 3 5 0 1 2 2 NeighborhoodNumber Businesses Parking Dummy Variable Free Parking Nearby Location(1 Day) University (mi) Residential Population within 5 mi 10400 9 1 Excel Assignment #2: Multiple Regression The Food Truck Case Study Overview and Objectives This assignment examines the case of a new food truck and the role that location plays...
1. Use Excel to create a regression model at a confidence level of 0.95. Based on your test results, pick the best conclusion.The data for the model seek to explain variability in the firm's net profit based on number of hours worked and client type (Manufacturing, Services, and Government). The client type is represented by a dummy variable. The model equation predicts the following net profit for a 100 hour project: a) Manufacturing: $2302.27; Services: $1869.81; Government: $-586.26 b) Manufacturing:...
1. Describe the trend of the data, if any.
2. Calculate the linear correlation coefficient and is the
linear correlation coefficient
significant? Why/why not?
3. Find the least-squares line of regression.
4. Graph the regression line on the scatter plot
5. Plot the residuals (give it your own title and labels for the
axes!) with lines for 2 standard
deviations of the residuals.
6. Predict the gas mileage of a 2000, 3000 and 4000 lb car.
Make a scatter plot...
1
Start Excel. Open exploring_e06_grader_h2_House.xlsx
and save the workbook as
exploring_e06_grader_h2_House_LastFirst.
0
2
Use Goal Seek to determine the total finished square footage to
meet the total cost goal of $350,000.
12
3
Enter a series of total square footages ranging from
1,800 to 3,600 in increments of
200 in the range D6:D15. Apply Blue font and Comma
Style with zero decimal places to the series.
12
4
Enter a reference to the base house price in cell E5 and...
Use the Eli Orchid data to extend your regression model in P2 with the dummy variable representing the weekend. 1. In column B calculate the values of the dummy variable representing weekend (w). The dummy variable w is set to 1 for Saturday or Sunday. Otherwise it is set to 0. DO NOT type the values in - you must build a formula.2. Run the regression multiple analysis. Generate the regression output in a yellow cell below. 3. Use the...
Part 1: Goal Seek
Pampa Parts produces a single product, the NF-9. The product has
a unit variable cost of $70 and annual fixed costs of $343,200.
Pampa is subject to a 20 percent tax rate.
Suppose the NF-0 sells for $110 per unit. Using the Goal Seek
function in Microsoft Excel, how many units of NF-9 must Pampa sell
to earn an annual operating profit after taxes of $38,400?
Now, suppose Pampa expects to sell 8,150 units of NF-9...
Suppose you run a regression in Excel. What is one way to determine if an explanatory variable is statistically significant? Compare the t-stat with the coefficient Compare the t-stat with the P-value Check if the coefficent is greater than a critical value. Examine the p-value and/or the t-stat. 2. Suppose you wanted to know if there was a relationship between time spent on the internet and IQ. Which model would make the most sense and what would it look like?...
Type the following table, which has historical world population data, into sheet 2 in rows 1 and 2. Year 1000 1650 1800 1850 1900 1920 1930 World population, in millions 200 545 924 1171 1635 1834 2170 10. Graph the above population data using the same steps as in Exercise 1. Add an exponential trendline, being sure to include the equation and R2 value in the chart. 11. In row 3 calculate the values for population predicted for each of...
Consider the following time series: 1 2 3 4 4 7 9 10 The forecast for period 5, to two decimal places, would be Hint: You have to first find the estimated regression equation. You can do this in Excel in three ways: 1). Make a scatterplot of the data above, right-click on the data, and use the "Add trendline" option. Check the box that says "display the equation on the chart." 2). Fit the regression model using the Data...