Construct a 95% prediction interval for y given x = 2.5, y = -2.5x and s, = 0.866. Round interval to three decimal places. X -1 -2 -3 -4 y 7 10 O A. - 12.594

For each variable, determine whether it is best thought of as discrete or continuous. Variable Discrete Continuous (a) The lifetime, in hours, of a  100 -watt light bulb manufactured by Northington Industries   ?   ? (b) The number of personal telephone calls made tomorrow at Bingley Corporation   ?   ? (c) The time for a participant to identify the color of the letters when the word red is shown in green letters on a computer screen   ?   ? (d) The number of defective compact discs in a batch of  500  discs ?   ?

The heat index (HI) is an estimate of the temperature felt by the human body based on the actual measured air temperature T (in °F) and relative humidity h,. It is given by HI = - 42.379 + 2.049015237 + 10.14333127h, – 0.22475541Th, – (6.83783 × 10-³)T² - (5.481717 x 10-3)h,² + (1.22874 × 10-³)7°h, + (8.5282 - 10-4)Th,² - (1.99 x 10-")T®h,?. a. If the air temperature in your area is 107°F with a relative humidity of 8%, how hot does your body feel? b. If the air temperature and relative humidity is known to be increasing at a rate of 2°F per sec and 1% per sec, resp., how fast is the heat index changing at the moment when the air temperature in your area is 107°F with a relative humidity of 8%?

Match these values of r with the accompanying scatterplots: 1, -0.355, -0.718, 0.355, and 0.996. Scatterplot 1 Scatterplot 2 8- 6- 6- FUUS 4- 2-* 0- 0 0.2 0.4 0.6 0.8 1 X 4- 2- 0- 0 0.2 0.4 0.6 0.8 X > 15- 14- 13- 12- 11- Scatterplot 3 10+ . 0 0.2 0.4 0.6 0.8 X O A. Scatterplot 1, r=-0.355; Scatterplot 2, r = 1, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 B. Scatterplot 1, r = 0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O C. Scatterplot 1, r=-0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O D. Scatterplot 1, r= 0.355; Scatterplot 2, r = 1, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 8- 6- 4- 2- Scatterplot 4 0- 0 0.2 0.4 0.6 0.8 X 8- 6- 4- 2- 04 0 Scatterplot 5 . • 0.2 0.4 0.6 0.8 X ..

The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.

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Compute the z-score for each of the six entertainment expenses. (Round z-score calculations to 2 decimal places.  Negative amounts should be indicated by a minus sign.)          z157      z132      z109      z145      z125      z139      I need the last three i answered te first three myself

The line of best fit through a set of data is y = 13.661 – 3.451x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 80? y = Round to 1 decimal place.

Data is collected on the relationship between time spent playing video games and time spent with family. The data is shown in the table and the line of best fit for the data is ŷ =−0.45x+81.83.  Video Games (Minutes) 40557085 Time with Family (Minutes) 64565143   According to the line of best fit, the predicted number of minutes spent with family for someone who spent 79 minutes playing video games is 46.28. Is it reasonable to use this line of best fit to make the above prediction? Select the correct answer below: The estimate, a predicted time of  46.28 minutes, is unreliable but reasonable. The estimate, a predicted time of  46.28 minutes, is both unreliable and unreasonable. The estimate, a predicted time of  46.28 minutes, is both reliable and reasonable. The estimate, a predicted time of  46.28 minutes, is reliable but unreasonable.

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