Use the following information to answer questions 40-50. The following regression output is for predicting the...

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Use the following information to answer questions 40-50. The following regression output is for predicting the heart weight (in g) of domestic cats from their body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats. (Intercept) body wt * 1.452 Estimate -0.357 Std. Error 0.692 t value. Pr>t) -0.515 0.607 4.034 0.250 16.119 0.000 R2-64.66% adj R = 64.41% Heart weight (g) 20 15- 2.0 2.5 3.0 Body weight (kg) 3.5 4.0 46. A cat discovered on the Stevens campus has body weight 6 kg. Would it be appropriate to use this linear model to predict the heart weight of this cat? Explain. 47. The regression output shows that the point estimate for the slope coefficient is nonzero. What are the null and alternative hypotheses for evaluating whether there actually is association between body weight and heart weight in cats? 48. State the conclusion of the hypothesis test in Question 46 in the context of the problem. Use the following information to answer questions 40-50. The following regression output is for predicting the heart weight (in g) of domestic cats from their body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats. (Intercept) body wt * 1.452 Estimate -0.357 Std. Error 0.692 t value. Pr>t) -0.515 0.607 4.034 0.250 16.119 0.000 R2-64.66% adj R = 64.41% Heart weight (g) 20 15- 2.0 2.5 3.0 Body weight (kg) 3.5 4.0 46. A cat discovered on the Stevens campus has body weight 6 kg. Would it be appropriate to use this linear model to predict the heart weight of this cat? Explain. 47. The regression output shows that the point estimate for the slope coefficient is nonzero. What are the null and alternative hypotheses for evaluating whether there actually is association between body weight and heart weight in cats? 48. State the conclusion of the hypothesis test in Question 46 in the context of the problem.