Answer:
Step-by-step explanation:
If t is the number of days since Sofia took the medication of 10 mg, then the amount of medication in her system after t days will be 
.
So, the concentration of medicine in blood decreases by a factor of one half every day.
If we count the number of days from today and Lexi takes 10 mg of the same medicine four days later then the amount of medicine left on her body after t days will be . (Answer)
Answer:
Kindly check explanation
Step-by-step explanation:
Given the data:
Temperature (degrees Celsius) : 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Percent heat loss from beak : 35 36 38 28 41 43 55 46 39 54 45 58 60 56 62 67
Using an online regression calculator ; the regression equation obtained is :
ŷ = 2.0927X + 0.6029
X = independent variable
Y = predicted variable
2.0927 = slope
0.6029 = intercept
B.) temperature = 25
ŷ = 2.0927(25) + 0.6029
= 52.9204
C.) the explained variance is the value of the coefficient of determination (R²) which is the square of the correlation Coefficient
0.8785² = 0.7718
D.) the correlation Coefficient r is 0.8785 using the Coefficient of regression calculator
Becuz they r numbers! duh!
Answer:
a. The time between customers entering a checkout lane at a retail store - Continuous
b. The weight of refuse on a truck arriving at a landfill - Discrete
c. The number of passengers in a passenger vehicle on a highway at rush hour - Continuous
d. The number of clerical errors on a medical chart - Continuous
e. The number of accident-free days in one month at a factory - Discrete
Step-by-step explanation:
A discrete variable is one whose value can be counted or it is a countable variable while continuous variable is not countable and hence it is measured.
a. The time between customers entering a checkout lane at a retail store - Continuous
b. The weight of refuse on a truck arriving at a landfill - Discrete
c. The number of passengers in a passenger vehicle on a highway at rush hour - Continuous
d. The number of clerical errors on a medical chart - Continuous
e. The number of accident-free days in one month at a factory - Discrete
