C. Classify the following variables as quantitative or qualitative variables. If the variableis quantitative, identify whether it is discrete or continuous.1.The type of payment used by customers2.The evaluation rating of instructors3.The classification of employees in acompany4.The weekly allowance of students

The quantitative variables are those variables which take countable number or discrete. The…

Answered: C. Classify the following variables as…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Determine if the type of data for each variable is: Quantitative Discrete data, Quantitative Continuous data, or Qualitative data Customer Type of loan Account number. Interest Rate Payment left Mark Johnson car 56122 2.5% 8 Kam Nelson Mortgage 12234 4.2% 10 Fatima Jackson personal 23451 6% 5 Allen Rod car 11111 3.1% 7
The following table provides monthly revenue values for Tedstar, Inc., a company thatsells valves to large industrial firms. The monthly revenue data have been graphed usinga line chart in the following figure. a. What are the problems with the layout and display of this line chart?b. Create a new line chart for the monthly revenue data at Tedstar, Inc. Format the chartto make it easy to read and interpret.
Below we list several variables. Which of these variables are quantitative, and which are qualitative?
Describe how each of the following variables can be measured using the nominal, ordinal, interval, or ratio scale of measurement: 1. Socioeconomic status 2. Distance of household from the nearest health facility.
- х i Data Table ets he Full data set O Assets R&D Expense R&D Expense 712.087 Assets 3,478.557 3,462.224 1,206.455 345.709 7,785.525 389.959 918.899 90.404 117.895 2,390.016 257.571 446.339 47.523 678.531 71.401 1,069.117 2,465.859 3,945.287 168.631 111.724 2,648.273 3,406.446 9,250.323 292.876 224.715 383.186 nt 410.051 988.349 19.257 485.204 55.161 493.116 55.046 2,363.477 251.699 0) 102.148 13.489 221.321 27.958 3,728.419 1,389.377 1,706.486 327.691 1,465.861 158.293 141.616 165.093 19.154 161.317 2,988.141 301.803 nat Print Done
Construct dummy tables corresponding to the following research objectives To compare the nutritional status of the breast, bottle, and mixed-fed babies. To determine the relationship of the patient's compliance to medication for hypertension with his age and the severity of his disease.
Please help me answer A, B, and E.
What variables are the following, explain why. Ordinal, nominal, ratio or interval 1.Birth order 2.Birth year 3.Annual Income 4.Only child
An economist want to determine the relation between one's FICO score, x, and the interest rate of a 36-month auto loan, y. The given data represent the interest rate (in percent) a bank would offer on a 36-month auto load for various FICO scores. Credit Interest Rate Score;x (percent);y 545 18.982 595 17.967 12.218 8.612 705 6.68 750 5.15 1. Find the least-squares regression line treating the FICO score as the explanatory variable and the interest rate as the response variable. 2. Predict the interest rate a person would pay if their FICO score were the median score of 723. 640 675
c. Below is a table of the cumulative percentages of work completed by the end of week 6. What is the cumulative earned value of the project at the end of week 6? Is it good? Task 1 Task 2 1 Week 2 3 30 80 100 4 5 6 10 25 35 55 65 10 20 Task 3 Task 4 Amounts are cumulative percent complete.
Which of the following variables is considered to be qualitative? method of payment (e.g., cash or credit card) O annual sales O price age
An economist want to determine the relation between one’s FICO score, x, and the interest rate of a 36-month auto loan, y. The given data represent the interest rate (in percent) a bank would offer on a 36-month auto load for various FICO scores. Credit Score;x Interest Rate (percent);y 545 18.982 595 17.967 640 12.218 675 8.612 705 6.68 750 5.15 Find the least-squares regression line treating the FICO score as the explanatory variable and the interest rate as the response variable. Predict the interest rate a person would pay if their FICO score were the median score of 723.

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