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BUS105 Basic business statistics

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As part of their Science Festival, a group of university undergraduate is attempting to build a multiple regression model that could help homeowners to predict the amount spent on electricity based on the following parameters (independent variables): Number of Occupants in the house Floor Area of the House Number of Window Opening in the house Number of Lightings in the house Age of the Air-conditioner Average Daily Temperature Based on 100 household data surveyed randomly from the neighbourhood, they discovered that only these parameters are truly significant for the multiple regression model: Number of Occupants in the house Floor Area of the House Number of Window Opening in the house Number of Lightings in the house With that, the group submitted their project report with the regression model equation that contains the above reduced set of parameters. You are the judge for the project. Discuss whether there are other statistical analysis needs to be performed before approving the revised result. Justify your answer with example(s) or evidence(s).

BUS105 Basic business statistics

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The Stem and Leaf Plot

STA8170 - Statistics for Quantitative Researchers Lecture, Module 9: Comparing Means and One-way ANOVA 1/80 STA8170 - Statistics for Quantitative Researchers Professor Shahjahan Khan, PhD School Sciences Faculty of Health, Engineering and Sciences University of Southern Queensland Module 9: Comparin ...

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Displaying Quantitative Data

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Types of data Quantitative Data

STA8170 - Statistics for Quantitative Researchers Lecture, Lecture 5 - Module 5: Randomness and Probability 1/101 STA8170 - Statistics for Quantitative Researchers Professor Shahjahan Khan, PhD School Sciences Faculty of Health, Engineering and Sciences University of Southern Queensland Lecture 5 - ...

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Generalising to the World at Large

STA8170 - Statistics for Quantitative Researchers Lecture, Lecture 2 - Using the Normal Model 1/63 STA8170 - Statistics for Quantitative Researchers Professor Shahjahan Khan, PhD School of Sciences Faculty of Health, Engineering and Sciences University of Southern Queensland Lecture 2 - Using the No ...

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