#### Forecast Analysis for Performance Lawn Equipment

An important part of planning manufacturing capacity is having a good forecast of sales. Elizabeth Burke is interested in forecasting sales of mowers (units sales) and tractors ( unit sales) in each marketing region in the Excel (using exponential smoothing and linear plots) forecast should be a yea...

#### Probabilities using the Normal Distribution

1. True or False? A normal distribution is a continuous probability distribution used with continuous random variables. 2. If a z-score is close to −3.49, the cumulative area is close to what value? 3. What is the area under a standard normal curve between z = −1.47 and z = 1.58? 4. Wha...

#### Multiple Regression Example from Real Life

Identify a research question from your professional life or research interests that could be addressed with multiple regression with two predictor variables. Describe the predictor variables ( X1, X2), the outcome variable ( Y), and the associated measurement scales. Articulate the expected outcome....

#### Regression model dummy variables

At times we need to include a dummy variable in the regression model. Provide an example of a multiple regression model that includes a dummy variable and that can be used to predict an outcome in your department or life. What assumptions do you need to make concerning the slope between the dependen...

#### Correlation and Bivariate Regression in Practice

As a critical consumer of research critically evaluate a scholarly article related to correlation and bivariate regression. • Search for a quantitative article related to correlation and bivariate regression. Critique of the article you found. In your critique, include responses to the follo...

#### Discussion: Correlation and Bivariate Regression

This Solution works with a real, secondary dataset to construct a research question, perform a correlation and bivariate regression model, and interpret the results. Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this ...

#### Inferential Statistical Analysis

Question 1 A company wants to produce three different mobile phones, with low-range, mid-range and high-range specifications, respectively. A survey with 100 respondents has been used to reveal the choices of potential customers. The company wants to review the figures to see if the three mobile ph...

#### Population in the news

Locate a news article or report (in a popular news source such as Time, Newsweek, or the Wall Street Journal) in which a population mean is estimated from a sample. The article should include a margin of error and confidence interval. Discuss the subject matter in the article, and interpret the resu...

#### Regression Analysis - Using PHStat or Excel

 A research analyst for an oil company wants to develop a model to predict miles per gallon based on highway speed. An experiment is designed in which a test car is driven at speeds ranging from 10 miles per hour to 75 miles per hour. The results are in the data set (SPEED.xls). a) Set up a sc...

#### Multiple Regression Analysis

 A consumer products company wants to measure the effectiveness of different types of advertising media in the promotion of its products. Specially, two types of advertising media are to be considered: radio and television advertising and newspaper advertising (including the cost of discount cou...

#### Hypothesis Testing and Confidence Interval...

Based on data from USA Today, tax returns include an option of designating \$3 for presidential election campaigns, and it does not cots the taxpayer anything to make that designation. In a simple random sample of 250 taxpayer returns from 1976, 27.6% of the returns designated the \$3 for the campaig...

#### Hypothesis Testing - PHStat/Excel/SSBEC

 A random sample of the birth weights of 186 babies has a mean of 3103g and a standard deviation of 696g (based on data from ``Cognitive Outcomes of Preschool Children with Prenatal Cocaine Exposure,'' by Singer et al., Journal of the American Medical Association, Vol. 291, No. 20. These babies ...

#### Multiple Regression Analysis..

Multiple Regression Model A study was carried out to explore the relationship between Aggression and several potential predicting factors in 666 children who had an older sibling. Variables measured were Parenting Style (high score = bad parenting practices), Computer Games (high score = more time ...

#### Calculations of Regression Analysis

See the attached file. 1. If Janice Position-Classification, personnel officer for the Bureau of Forms, can forecast agency separations 6 months from now, she can plan recruitment efforts to replace these people. Janice believes that separations 6 months from now are determined by the number of age...

#### Chi-square Test & Correlation Coefficient

1. Use the contingency table below to determine if there is evidence of a significant difference between proportions of males and females who enjoy shopping for clothing at the 0.01 level of significance. Determine the p-value in (a) and interpret its meaning. Yes No Total Males 136 104 240 F...

#### Building a Quadratic Regression Model

See attachment for data on y = green liquor (g/L) and x = paper machine speed (ft/min) from a Kraft paper machine. (a) Fit the model Y = Bo + B1x + B2x^2 + e using least squares. (b) Test for significance of regression using alpha = 0.05. What are your conclusions? (c) Plot the residuals fro...

#### Scatter Plots and Correlation Coefficients

Question 1: Problem 2.13 from the text. Use Excel to construct your scatter plot. Write your answers to the questions in a word document. Include the scatter plot you created in your word document. Question 2: Problem 2.37 from the text. Use Excel to construct a scatter plot. Compute the correlat...

#### Quadratic Regression and Model Buildling

Quadratic Regression Problem The marketing department wants to study the effect of price on the sales of packages of disposable razors. A sample of 15 stores is selected. The number of packages sold over a full week and the price at each store are in the following table (see attached file fo...

#### Explanation of a Regression Analysis Question

Suppose we have the following information from a simple regression: b0 = 117.4 b1 = -14.39 sb0 = 44.17 sb1 = 3.20 n = 300 x = 4.3 SST = 17,045 SSE = 12,053 a. What is the coefficient of determination? b. What is the correlation coefficient? c. What is the sample mean of y? d. What ...

#### Calculation of Regression Coefficients

It is hypothesized that the number of bottles of an imported premium beer sold in city restaurants depends linearly on the average cost of meals in these restaurants. The following results were obtained for a sample of n = 20 restaurants of approximately equal size: x = 30 y = 18.8 Var(x) = 412 ...

#### Bank Loan Data Set Analysis - SPSS

Please provide recommendations to a company based on the data. The dataset provided is information on applicants for a bank loan. The bank is seeking advice as to their current loan approval guidelines Based on the dataset, what recommendations can be made to the bank? should the bank consider lower...

#### Beta Value & Regression Analysis

I need help with problems 13.49 and 13.79. They are attached here. Thank you in advance!! 13.49 The volatility of a stock is often measured by its beta value. You can estimate the beta value of a stock by developing a simple linear regression model, using the per- centage weekly change in t...