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Standard error of the slope: s sb = ( xi x )2

3

Click the Open A Store button You ll begin by choosing a store design You can use one of eBay s 39 predesigned store templates or use the eBay Easily Customizable tool (click the link in the upper-left corner of the page) to create a customized store look We suggest choosing the Classic Left or Classic Top templates These templates allow you to customize the appearance of your store, which is an excellent opportunity to build on your business s identity and brand We further discuss brand-building store design strategies in 3 The Classic Left and Classic Top templates are also a wise choice for optimizing your store for search engines These templates display the keywords of your store s name and description (which we ll discuss in the following two sections) at the top of your store pages This is an important element to making your store pages visible to search engines eBay studies have shown

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ecruiting and hiring new employees can cost a company hundreds of thousands of dollars and a ridiculous number of man-hours, especially when they become engulfed in paper r sum s To save money and time, most large companies use electronic methods to review candidates These include: (1) accepting e-mail r sum s, (2) having applicants complete online r sum forms, and (3) scanning r sum s When you create your r sum , you need to consider how to submit it, as this will affect the layout and design you use In this chapter, we cover: Finding IT jobs online Job sites that don t waste your time Keywords and buzzwords Optimizing your online r sum Online r sum forms Creating your PDF r sum Scannable r sum s The biggest mistake of electronic r sum s Example of an electronic r sum

example: Consider once again the earlier example on predicting teacher salary from per pupil expenditure Construct a 95% confidence interval for the slope of the population regression line solution: When we were doing a test of Ho : b = 0 for that problem, we found that Salary = 12027 + 334 PPE The slope of the regression line for the 15 points, and hence our estimate of b, is b = 334 We also had t = 604 Our confidence interval is of the form b t*sb We need to find t* and sb For C = 095, df = 15 2 = 13, we have t* = 2160 (from Table B; if you have a TI-84 with the invT function, use invT(0975,13)) Now, as mentioned b 334 earlier, sb = = = 05530 t 604 Hence, b t*sb = 334 2160(05530) = (215, 453) We are 95% confident that the true slope of the regression line is between 215 and 453 Note that, since 0 is not in this interval, this finding is consistent with our earlier rejection of the hypothesis that the slope equals 0 This is another way of saying that we have statistically significant evidence of a predictive linear relationship between PPE and Salary (If your TI-84 has the invT function in the DISTR menu, it also has, in the STAT TESTS menu, LinRegTInt, which will return the interval (2146, 4538) It still doesn t tell you the value of sb There is a more complete explanation of how to use technology to do inference for regression in the next section)

In this day and age, most companies use the Internet exclusively for their recruiting needs, so it s critical that you know where to look

that the search engines will not be able to spider words that are covered up by the template Classic Left and Classic Top allow your Store Name and Store Description to show through

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