Statistical Analysis - Data Management  Per each graph, answer the following: Any relevant statistics to support your findings (mean, median, mode, standard deviation, etc.) Include the equation for the line/curve of best fit. You can analyze different models: linear, quadratic, exponential, polynomial, etc. Explain the r2 and r value (if needed) see your notes from the appropriate section. How these stats characterize relationships between variables? Sampling techniques involved in a data collection. Population? Bias and extraneous variables. Final statement (future trends, what you expect to happen)

When constructing a research design and the researcher has gender as a variable, please answer the following: Name of variable: Gender Levels of variables you will use:  Scale of Measurement (nominal, ordinal, or scale): Appropriate measure of central tendency and (if appropriate) variability:

help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

MAT 312 PLEASE HELP After being hired as a financial advisor for a large real estate company, you have been tasked with exploring trends between home size (square ft) and property taxes to see if a relationship exists and if that trend can be applied outside of just the sample data. In the Excel Lab #5 Data File, you will find raw data on sheet 1. However, to simplify your calculations, you have only been asked to test a random sample of 10 homes. So, your first step will be to randomly select data from 10 of the homes and paste them into sheet 2 called “sample data”. This will be the data that you will analyze. (You can generate 10 random numbers between 5 and 30 however you want for your sample, but know that there is essentially no chance two students should have the same 10 samples). Within the Excel spreadsheet, use the Excel tools/functions to calculate the correlation coefficient, test statistic, and p-value. You will also use Excel to generate a scatterplot of your sample data…