Applied Linear Regression Notes set 1 Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa‚ AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 September 26‚ 2006 Textbook references refer to Cohen‚ Cohen‚ West‚ & Aiken’s (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. I would like to thank Angie Maitner and Anne-Marie Leistico for comments made on earlier versions of these notes. If you
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that has an interior angle greater than 1808 is a polygon. convex 2. A polygon that has no interior angles greater than 1808 is a polygon. 3. A hexagon in which all angles measure 1208 is an example of an equiangular polygon. 4. An octagon in which all angles measure 1358 and all sides are 6 cm long is an example of a regular polygon . 5. An angle inside a polygon is an interior angle . Circle the term that applies to the diagram. 6. equiangular equilateral regular 7. equiangular equilateral
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EQT 271 Engineering Statistics UNIVERSITI MALAYSIA PERLIS GROUP ASSIGNMENT EQT 271 ENGINEERING STATISTICS SEMESTER 2 SESSION 2012/2013 INSTRUCTIONS: 1. 2. 3. 4. Maximum of 5 persons in a group (should be in the same program). Due date: 28 MAY 2013. Report must be typewritten using A4 paper. The front cover for the report is as in Appendix 1. In this assignment‚ you will apply concepts of data approximation and fitting to some real data generated from your surveys. Each modeling tool gives
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to increase by 6 each year. Variable costs are expected to increase by 3 per year. All payments for costs are made in the year incurred. Depreciation is 20‚000 per year so no calculation is need for depreciation. Each owner will bill 30 hours per week for 48 weeks. There will be no other employees. Kayla and Zhejia plan to sell the business for 1.5 times what they paid for the building and the land at the end of the 15th year (750‚000). Neither the land nor the building will appreciate in value
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Module 5: Laws and Rules of the Road Create a car saying (Bumper Sticker) or a Road Sign (Billboard) that would describe one main point you learned in Module 5. This is an example of a bumper sticker from a former student: ““Driving the right speed is always a good deed. Enjoy your ride and don’t collide!” 1. What would yours say? When you speed it causes more collisions so remember always be safe and wear a seat belt. 2. How would it look? It would be a billboard and it would have a picture
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o Limitation of the Study 3. Methodology and Research and Development 11 4. Company Profile 18-41 o Origin o Growth and Development o Product Profile o Present Strategy o Future Strategy 5. Promotion Strategy for Nokia Mobile 50-52 o Promotion Plan o Types of Promotion 6. Data Analysis & Data Presentation 53 7. Findings of the Study 70 8. Recommendations 76 9. Result and Observation (Conclusion) 78
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Module 5 – Individual level: motivation concepts and applications 1 Module 5 – Individual level: motivation concepts and applications Learning objectives On successful completion of this module‚ you should be able to: ● ● ● ● ● ● ● ● ● Define motivation and identify three key elements of motivations Identify early theories of motivation and evaluate their current use value Apply the predictions of self-determination theory to intrinsic and extrinsic rewards Compare and contrast goal-setting
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would be realized if the securities were sold today. The amount of unrealized gain or loss appears in the owners’ equity section of the balance sheet. An unrealized gain increases total owners’ equity‚ and an unrealized loss decreases owners’ equity. 5. I = P x R x T –or– Interest = Principal x Rate of Interest x Time Principal – Amount of debt Rate of Interest –
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CORRELATION & LINEAR REGRESSION Prof. Jemabel Gonzaga-Sidayen Spearman rank order correlation coefficient rho (rs) • Spearman rho is really a linear correlation coefficient applied to data that meet the requirements of ordinal scaling • Formula: rs = 1 - 6 Σ D i 2 N3 - N – Di = difference between the ith pair of ranks – R(Xi) = rank of the ith X score – R(Yi) = rank of the ith Y score – N = number of pairs of ranks Try this Subject Proportion of Similar Attitudes (X) Attraction (Y) Rank of
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Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc‚ Inc./Getty Images A random sample of eight drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experiences (in years) and monthly auto insurance premiums. Driving Experience (years) Monthly Auto Insurance Premium 5 2 12 9
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