Final answer:
A table relating temperature to the Heat Index at 75% humidity shows a linear increase of 4°F in the Heat Index for every 1°F rise in temperature from 94°F to 98°F. The linear function describing this relationship is H(t) = 4t + 66. Using this function, the estimated Heat Index at 100°F is calculated to be 466°F.
Step-by-step explanation:
To construct a table that relates temperature (t) to the Heat Index (H) given that on a day with 75% humidity, for every 1 degree increase in temperature from 94°F to 98°F, the heat index rises by 4°F, we start with an initial temperature of 94°F and a heat index of 122°F.
t = 94°F, H = 122°F
t = 95°F, H = 126°F
t = 96°F, H = 130°F
t = 97°F, H = 134°F
t = 98°F, H = 138°FIn this scenario, the independent variable is the temperature (t), and the dependent variable is the Heat Index (H). We can represent the linear relationship between the temperature and the Heat Index by the function H(t) = 4t + 66, where 't' is the temperature in degrees Fahrenheit starting from 94°F.
To estimate the Heat Index when the temperature is 100°F, we can substitute t = 100 into the function:
H(100) = 4(100) + 66 = 400 + 66 = 466°F.
Therefore, the estimated Heat Index at 100°F with 75% humidity would be 466°F.