MAT 300 Midterm Exam
All calculations and relevant Minitab output must be included to receive full credit. Be sure to
word-process your solutions and copy and paste the appropriate outputs from Minitab. Show all
steps used in arriving at the final answers
MAT 300 Midterm Exam
All calculations and relevant Minitab output must be included to receive full credit. Be sure to wordprocess your solutions and copy and paste the appropriate outputs from Minitab. Show all steps used in
arriving at the final answers.
Undergraduate Course Syllabus
MAT 300: Applied Statistics II: Regression Analysis
Center: Online
Course Prerequisites
MAT-240 with a grade of C or better
Course Description
This is a second course in statistics that builds upon knowledge gained in MAT 240
MAT 300 Midterm Exam
All calculations and relevant Minitab output must be included to receive full credit. Be sure to wordprocess your solutions and copy and paste the appropriate outputs from Minitab. Show all steps used in
arriving at the final answers.
Regression Analysis on the football team:
Goal: what parameters have influence on the percentage teams wining?
Parameters: Total Offense, Total Defense, Overall Quarterback Rating, Average Points Scored vs.
Average Points Against Differential, Takeaways v
5.24
Interpretation of the Model Parameters:
Interpretation of the Model Parameters:
(a)
I will write a main effect model of E(y) as a functional of gender and expert testimony. The main
effect model is given:
Then I will interpret the coefficients of the
Linear Regression With One Predictor
A first-order linear regression model with one predictor is of the form:
where
is the y-intercept and
is the slope. In this model, x is the independent or
predictor variable and y is the dependent or response variable.
4.20
The 95% confidence interval for E(y) is given by :
The 95 %prediction interval for y is given by:
Given the least square prediction equation for the study the factors influencing vendors incomes as
follows
Given SAS output as follow:
From above SAS o
MAT 300: Final Project Guidelines and Grading Guide
Overview
The final project for this course is the creation of a statistical regression report. Based on the knowledge obtained in this course and previous course work, you
will examine the methodology us
Homework Rubric
This rubric is for grading student work related to problems found in math and/or quantitative courses.
Critical Elements
Computation
Application of Tools
Quantitative Literacy
Exemplary
Almost all of the problems are
computed correctly
(36
Palak Patel
MAT-300
4.10
A. RegressionEquation
WeightChange=6.45+0.2435DigestionEfficiency+0.1269AcidDetergent
B. For every 1% increase in Digestion Efficiency (x1) weight change increases by 0.24% and
for every 1% increase in Acid Detergent (x2) weight c
Palak Patel
Homework 3-4
4.28
A. y= 1041.89-13.237x1+ 103.306x2 is the least squares prediction equation
x1 is the age of the vendor
x2 is the hours worked per day of the vendor
y is the annual earnings
B. X1 slope = 1 + 3x2
X1 slope = -13.23762 + 3.62096
6.4 Yield strength of steel alloy.
a) The engineers used stepwise regression in order to search for a parsimonious set of predictor
variables. Do you agree with the decision? Explain.
Yes, I would agree that stepwise regression should be used in order to
Analysis of the NBA
Regression Analysis on the National Basketball Association
Southern New Hampshire University
MAT-300: Applied Statistics II: Regression Analysis
1
Analysis of the NBA
Introduction
The purpose of this report is to do an analysis on the