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Python Part 1 (15pts): Create a class named Apartment that holds an apartment number, number of bedrooms, number of baths, and rent amount. Include the following in the class: Create a constructor that accepts values for each data field (apartment number, number of bedrooms, number of baths, and rent amount). Create instance variables in the […]
Topic: Using graphs to interpret data In this assignment, you will be required to use the Heart Rate Dataset to complete the following: Use the classification of variables from the Unit 1 assignment to match each variable to one appropriate type of graph Create graphs of those variables Give a brief written description of how […]
Find a research study that uses scatterplots. In 600 minimum -750 maximum content words (title page, abstract, and references not included in count), respond to the following: Determine what the two variables are in the study. Using the scatterplot and correlation, describe the association between the two variables. Describe whether the Pearson correlation coefficient would […]
Discuss the difference between positive association and negative association when describing the relationship between two variables. What do we mean by the least-square criterion? Give a general description of how the least-square criterion is involve in the construction of the least-square line. Why do we say the least-squares line is the “best-fitting” line for the […]
Consider the dataset below and respond to the questions that follow: Advertisement ($’000) Sales ($’000) 1068 4489 1026 5611 767 3290 885 4113 1156 4883 1146 5425 892 4414 938 5506 769 3346 677 3673 1184 6542 1009 5088 Construct a scatter plot with this data. Do you observe a relationship between both variables? Use […]
Medical professionals can find relationships between variables. The more you drink alcohol, the less functionality of your liver. The less carbohydrates a person intakes, the lower their Body Mass Index. Data can be collected and organized as an ordered pair (x, y). The data can be analyzed to determine the type and strength of a […]
Description The coefficient of determination, r2, indicates the statistical relationship between two variables. Frequently, if there is a high correlation between two variables, we can safely assume that one causes the other. But this is not always the case—sometimes the correlation is spurious, meaning invalid and misleading. Researchers found that from 1931 to 1971 there […]
Predictive Analytics Create using your survey instrument or find out any clean balanced dataset using Git hub or Kaggle that would have at least two variables and minimum of 10 records. Provide details about the Predictive variable “Y” and its decencies on all the dependent variables. Using Multivariate analysis predictive equation for “Y”.
write a 2 page paper ( 2 page only exclude cover and reference page) addressing the sections below of the research proposal: Methodology includes: Extraneous Variables (and plan for how controlled). Instruments: Description, validity, and reliability estimates, which have been performed (on a pre-established measure). Include plans for testing validity and reliability of generating your […]
Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics. Construct a scatter plot in Excel with FloorArea as the independent variable and Assessment Value as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a […]
