Question: Suppose that you build a multiple linear regression model to predict a person's systolic blood pressure (in mmHg) given their age (in years), weight (in

 Suppose that you build a multiple linear regression model to predict

Suppose that you build a multiple linear regression model to predict a person's systolic blood pressure (in mmHg) given their age (in years), weight (in pounds), and gender (male - 0, female - 1). The regression parameters obtained are shown below: coef std err [0.025 0.975] Intercept age weight gender 32.3128 0.7997 0.3502 1.0030 12.752 0.284 0.140 1.867 2.534 2.813 2.504 0.537 0.039 0.026 0.041 0.608 2.159 0.127 0.020 5.419 62.466 1.472 0.681 3.413 Use this information to determine which of the following statements is true. . If the weight increases by one pound, then the blood pressure increases by 0.3502 mmHg assuming that the age and the gender remain constant. If the weight increases by 0.7997 pounds, then the blood pressure increases by one mmHg, assuming that the age and the gender remain constant. For each additional mmHg in blood pressure, the age increases by 0.7997 years, assuming that the weight and the gender remain constant. For each additional year in age, the blood pressure increases by 0.7997 mmHg, assuming that the weight and the gender remain constant. After accounting for age and weight, the blood pressure of females is 1.0030 mmHg more than that of males. After accounting for age and weight, the blood pressure of females is 1.0030 mmHg less than that of males. There is a statistically significant relationship between blood pressure and age. . . . . . . There is a statistically significant relationship between blood pressure and weight. . There is a statistically significant relationship between blood pressure and gender. Suppose that you build a multiple linear regression model to predict a person's systolic blood pressure (in mmHg) given their age (in years), weight (in pounds), and gender (male - 0, female - 1). The regression parameters obtained are shown below: coef std err [0.025 0.975] Intercept age weight gender 32.3128 0.7997 0.3502 1.0030 12.752 0.284 0.140 1.867 2.534 2.813 2.504 0.537 0.039 0.026 0.041 0.608 2.159 0.127 0.020 5.419 62.466 1.472 0.681 3.413 Use this information to determine which of the following statements is true. . If the weight increases by one pound, then the blood pressure increases by 0.3502 mmHg assuming that the age and the gender remain constant. If the weight increases by 0.7997 pounds, then the blood pressure increases by one mmHg, assuming that the age and the gender remain constant. For each additional mmHg in blood pressure, the age increases by 0.7997 years, assuming that the weight and the gender remain constant. For each additional year in age, the blood pressure increases by 0.7997 mmHg, assuming that the weight and the gender remain constant. After accounting for age and weight, the blood pressure of females is 1.0030 mmHg more than that of males. After accounting for age and weight, the blood pressure of females is 1.0030 mmHg less than that of males. There is a statistically significant relationship between blood pressure and age. . . . . . . There is a statistically significant relationship between blood pressure and weight. . There is a statistically significant relationship between blood pressure and gender

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