From the variables you chose ( I chose life expectancy and Mortality Rate) from thestatistics for 42 countriesin the previous activity, record the slope of the linear model.

Complete the following statement, which assumes a causal relationship,by replacing the words that show up in brackets with the appropriate words for your model:

"A one unitincrease in {independent variable} will CAUSE an {increase or decrease}in the {dependent variable} by {slope} units."

Share your statement

Also, Comment and answering the following question to show that you can communicate the danger associated with misclassifying a correlation as a cause and effect:

"If that statement was true, what would that imply for our world and the decision makers?"

your response should not be short.

B C D E F G H K mortality rate(x) life expectancy(y) 68.1 60.37446 22 74.8081 11.5 76.15861 32.1 71.6259 14.4 74.40188 4.4 81.95661 9.8 75.78227 14.1 73.99315 90 10 76.5 58.6592 80 y =-0.185x + 76.77 21 71.12171 70 R2 = 0.396 12 42.9 64.03502 60 3.6 82.37317 3.2 80.8439 50 Series1 39.3 68.0138 40 23.6 68.88849 Linear (Series1) 30 17 13.9 75.3892 20 27.2 69.39968 3 82.69024 10 2.1 83.5878 0 36.6 61.57637 0 50 100 150 11.9 76.72185 24.6 74.0161 24 40.7 65.85785 25 71.5 52.75427Mortality Life rate, infant Population Expectancy (per 1,000 growth GDP per capita Country Population at birth live births) (annual %) (current US$) Afghanistan 31,627,506 60.37446 68.1 3.03347 633.94786 Algeria 38,934,334 74.8081 22 1.9404 5484.06681 Argentina 42,980,026 76.15861 11.5 1.03306 12324.93879 Bangladesh 159,077,513 71.6259 32.1 1.21438 1086.80009 Brazil 206,077,898 74.40188 14.4 0.88636 11728.79939 Canada 35,587,793 81.95661 4.4 1.09807 50185.4815 China 1,369,435,670 75.78227 9.8 0.50631 7683.50204 Colombia 47,791,393 73.99315 14.1 0.944 7918.0789 Democratic Republic of the Congo 74,877,030 58.6592 76.5 3.15318 437.81493 Egypt 89,579,670 71.12171 21 2.21886 3365.70742 Ethiopia 96,958,732 64.03502 42.9 2.50681 573.56596 France 64,121,249 82.37317 3.6 0.7909 42696.77883 Germany 80,646,262 80.8439 3.2 -1.41038 47902.65288 India 1,295,291,543 68.0138 39.3 1.22673 1576.81767 Indonesia 254,454,778 68.88849 23.6 1.26019 3499.58873 Iran (Islamic Republic of) 78, 143,644 75.38932 13.9 1.27655 5442.87477 Iraq 35,273,293 69.39968 27.2 3.36127 6484.52934 Italy 59,788,667 82.69024 3 0.9175 35365. 10412 Japan 126,794,564 83.5878 2.1 -0.16255 38139.42236 Kenya 44,863,583 61.57637 36.6 2.64412 1368.49113 Mexico 125,385,833 76.72185 11.9 1.32122 10353.44798 Morocco 33,921,203 74.0161 24.6 1.39082 3186.60876 Myanmar 53,437,159 65.85785 40.7 0.85196 1227.13722 Nigeria 177,475,986 52.75427 71.5 2.66049 3203.2443 Pakistan 185,044,286 66.18337 67.4 2.10344 1320.55355