Answered: At the end of a certain year, the four…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 10CYU

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In a recent survey, ice cream truck drivers in Cincinnati, Ohio, reported that they make about $280 in income on a typical summer day. The income was generally higher on days with longer work hours, particularly hot days, and on holidays. The accompanying data file includes five weeks of the driver's daily income (Income), number of hours on the road (Hours), whether it was a particularly hot day (Hot - 1 if the high temperature was above 85°F, 0 otherwise), and whether it was a Holiday (Holiday = 1,0 otherwise). Click here for the Excel Data File a-1. Estimate the effect of Hours, Hot, and Holidays on Income. Report the regression coefficients and their significance at the 5% level. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Predictor Variable Constant Hours Hot Holidays Coefficient Significance at 5% Not significant Significant Significant Significant
Here is a chart showing how many people are non-smokers, occasional smokers, and heavy smokers by the categories of drinking behavior (non-drinkers, occasional drinkers, and heavy drinkers). Based on this data, which of the statements below are true? Incidence of Smoking by Category of Drinkers Select one or more: 2118 2061 a. A higher proportion of heavy drinkers are heavy smokers, as compared to the proportion of non-drinkers that are heavy smokers 1067 b. There are more heavy smokers who are heavy drinkers than there are heavy smokers who are 899 733 733 occasional drinkers 552 435 163 163 c. Non-drinkers are far more likely to be non-smokers than to be occasional smokers or heavy NON DRINKER HEAVY DRINKER OCCASIONAL DRINKER smokers Occasional Smoker Non Smoker Heavy Smoker d. From this chart, you can conclude that there is a relationship between drinking and smoking, but you cannot say whether one causes the other In this boxplot the numeric variable box office gross (sales) of…
Refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use?

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					y	−	z	=	z − u
					x	−	y	=	3(y − u) + 21
and	x	−	y	+	z	−	u	=	28.