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0.0 83.0 1.0 77.7 2.0 75.1 3.0 73.0 4.0 71.1 5.0 69.4 6.0 67.8 7.0 66.4 8.0 64.7 9.0 63.4 10.0 62.1 11.0 61.0 12.0 59.9 13.0 58.7 14.0 57.8 15.0 56.6

(b) A model of coffee cooling in a room at To = 22C is: AT = Tn+1-Tn = -k(In-To). Use the function scipy.stats.linregress(x,y) (usage: slope, intercept, r_value, p-value, std_err = stats.linregress(x,y)), to make a fit of the coffee data given above. Make a plot of the regression line fit, superposed on a scatter plot of ATn v/s In To. (b) A model of coffee cooling in a room at To = 22C is: AT = Tn+1-Tn = -k(In-To). Use the function scipy.stats.linregress(x,y) (usage: slope, intercept, r_value, p-value, std_err = stats.linregress(x,y)), to make a fit of the coffee data given above. Make a plot of the regression line fit, superposed on a scatter plot of ATn v/s In To

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