For the period November 1, 2013 through February 21, 2014, of interest was to us

Question

For the period November 1, 2013 through February 21, 2014, of interest was to use the average daily low temperature in degrees Fahrenheit in a city to predict the number of days children in that city missed from school due to weather closings. A random sample of 37 cities was selected and the data is displayed in the scatterplot below 25 2 20 a 15 10 10 20 30 a0 50 Awerage Temperture 1. (2 points) Based on the information above, which of the following are correct statements. List the letters of all choices that meet the description (it is possible for there to be more than one correct choice). (A) Average temperature is a lurking variable (B) Davs,ofschoo^missedis a lurking variable (C) Average temperature is the explanatory variable (D) Davs,ofschoolmissedis the independent variable (E) Average temperature is the response variable (F) Davs,ofschoolmissed.is the dependent variable 2. 6 points) Coosidet the scatterplot above. Use this scatterplot to describe completely the relationship between the average temperature and the number of days of school missed. 3. (2 points) Consider the scatterplot above. On the line to the left write the value that you guess the correlation coefficient r is equal to (no calculations are necessary) 4. (2 points) The regression line that gives the linear relationship between the average temperature and the number of days of school missed is predicted number of days of school missed-8.16-0.42(average temperature). Draw this regression line on the scatterplot above

Explanation / Answer

Explanatory variable is X

Response Variabale is Y

x varible we plot is independent variabe

y variable we plot is dependent variable

here X=Aveerragetemperateure

Y=Days of school missed

Average temperature is explanatory variable

Days of schhol missed is dependent variable

OPTIONS (C),(F)

sOLUTION2:

There exists a strong negative relationship between avedrage temp and Days of school miissed

R=-ve value

as average temperature incraeses,days of school missed decreases.

Indirect relationship

Solution3:

r=-0.9 to -1

Solution4:

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