Which of the following is an example of quantitative data? (choose all that apply) (A) The number of students in a classroom (B) The brand of a laptop The taste of a pizza The time spent studying

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Protein and Diastolic Blood Pressure A study wasconducted with vegetarians to see whether the numberof grams of protein each ate per day was related todiastolic blood pressure. The data are given here. Ifthere is a significant relationship, predict the diastolicpressure of a vegetarian who consumes 8 grams ofprotein per day. (This information will be used forExercises 10 and 12.) Grams x      4  6.5   5  5.5   8  10    9  8.2 10.5Pressure y 73 79   83  82  84  92  88  86   95

pls step with steps A study of traffic violations on a busy highway finds that the number of tickets for speeding written by officers tends to decrease on rainy days. A police sergeant explains that driver behavior could be a confounding variable. Which statement best explains the confounding variable in this study? On sunny days, more tickets for speeding are written than on rainy days. Officers are less likely to want to leave their police cars to write tickets on rainy days. Drivers may drive more carefully on rainy days, so the number of speeding tickets decreases. Drivers are more likely to speed on rainy days to get to their destination fast

Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase. Discuss causation vs. relationships.

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The scatterplot illustrates the relationship between distance and success rate of field-goal attempts for a Which of the following is an accurate description of the scatterplot? sample of football kickers. The kickers have unusually low success rates when the distance is large. Field-Goal Distance and Success Rate The kickers have unusually high success rates 80 when the distance is small. 75 As the distance of the attempt increases, the 70 kickers have a lower success rate for their field goals. As the distance of the attempt increases, the kickers tend to have a lower success rate for their field goals. 45 40 35 20 25 30 35 40 45 50 55 60 65 70 Distance (yd) Mark this and return Save and Exit Next Submit Success Rate (%)

Test for a linear correlation between price and square feet in South Salinas -Provide r, the critical values and conclusion Test for a linear correlation between price and square feet in North Salinas -Provide r, the critical values and conclusion. Test for a linear correlation between price and bedrooms in South Salinas- Provide r, the critical values and conclusion. Which factor has the biggest effect on the price of a house in Salinas? Explain.   The sale prices for homes in Salinas. To answer the questions. South Salinas     North Salinas   Price Square Feet Bedrooms   Price Square Feet Bedrooms 549 1512 3   535 2473 4 415 1023 2   389 1118 2 565 2436 4   229 932 2 1175 3559 5   459 1240 3 600 2093 4   440 1387 3 506 1531 3   285 720 2 489 1132 3   439 1569 3 590 1577 3   495 1928 3 419 1536 3   295 1205 2 500 1630 3   347 948…

How is a linear relationship between two variables measured in statistics? Explain. Select all the true statements. There are several numerical measures of correlation, called correlation coefficients. The correlation coefficient ranges from 1 to 1. Values closer to 0 show a strong linear relationship. The correlation coefficient ranges from 1 to 1. Values close to +1 or -1 show a strong linear relationship. If the values of x and y are interchanged, the correlation coefficient remains the same. The value of the coefficient is resistant to outliers. X Save For Later Subu Check Answer Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Terms of Use hp