This week we will discuss great research questions for predictive designs. A great research question will include all of the variables, identify the predictor and outcome variable, and will imply the measurement scale of the variables. A great research question will also give you enough information to know what statistic(s) will be appropriate to answer the question. The topic for this week's forum is finding a GREAT research question or research hypothesis from an empirical study. It should be so thoroughly stated that we would all be able to have a good idea of the measurement scale of the variables – all of them should be at least ordinal to require linear regression. GUIDELINESPlease copy and paste ONE question/hypothesis (great ones will be one sentence only) and list the citation. Then tell us why YOU believe the variables involved are ordinal/interval/ratio, and WHY regression – in your words. Please make your postings brief by writing succinctly.

Attached Files: Heart Rate Data Set.xlsx (16.008 KB) Unit 3: Descriptive StatisticsEvaluation Title: Assignment 3 RubricInstructions: In this assignment, you will be required to calculate descriptive statistics for each numeric variable in the Heart Rate DatasetStepsOpen the Heart Rate Dataset in ExcelSort the quantitative variables by class (e.g., Male at-rest heart rate and Female at-rest heart rate)Use the Data Analysis tools of Excel to calculate each of the following statistics:Mean of each quantitative variableSample variance of each quantitative variableSample standard deviation of each quantitative variableCreate a table in Excel that summarizes the statistics for each variable.Transfer your summary results to Word, and briefly explain your calculated results. Additional Instructions:Your assignment should be typed into a Word or other word processing document,formatted in APA style. The assignments must includeRunning head A title page withAssignment nameYour nameProfessor’s nameCourseEstimated time to complete: 3 hours