Answer:
C.7
Step-by-step explanation:
The world consists of a continuous expanse of land.
This land is categorized into various regions referred to as the continents.
There are seven continents on Earth, which are as follows:
1) Asia
2) Africa
3) North America
4) South America
5) Antarctica
6) Europe
7) Australia.
A patron orders a drink consisting of <span>1½ ounces of 80-proof vodka and 12 ounces of beer
indicating it has a total of 2 drinks.
This is because 3 ounces of 80-proof vodka is categorized as 2 drinks, so half of that is regarded as 1 drink, and since 12 ounces of beer counts as one drink, the total number of drinks in this mix equals two.</span>
Let's calculate the missing sides first. For the large triangle, we can utilize the Pythagorean theorem, which is a^2 + b^2 = c^2. Here, a^2 is 13^2 - 5^2, which results in 169 - 25 = 144. Therefore, the square root of a is equal to the square root of 144, which gives us a = 12.
For the smaller triangle, we compute 5^2 - 3^2 = b^2, yielding 25 - 16 = 9, so b = 4. The length of the Elm Trail totals 13 km + 5 km, making it 18 km, while the Dogwood Trail calculates to 12 + 5 + 4 + 3 = 24 km.
Thus, the correct selections are 2 and 5.
The known facts are: every animal possesses 2 eyes. Each cow has 4 legs, and every hen has 2 legs. Let's denote the number of cows as x and the number of chickens as y. According to the question, the total number of eyes is 162. Therefore, the equation can be framed as 2x + 2y = 162, simplifying to x + y = 81 (1). Additionally, the total number of legs is 270, leading to the equation 4x + 2y = 270, simplifying to 2x + y = 135 (2). By subtracting equation (1) from equation (2), we get x = 54. Substituting the value of x into equation (1) gives 54 + y = 81, leading to y = 27. Thus, to sum it up, total number of animals: cows = 54, chickens = 27.
Answer:
The accurate answer is False.
Step-by-step explanation:
In order to elucidate or forecast the response variable in any regression analysis, multiple explanatory variables are utilized. These are frequently referenced as response variables or dependent variables.
Risk factors and confounding variables are labeled as predictor or independent variables.
These definitions form a crucial part of regression analysis which is a method employed to evaluate the link between one or more risk factors and a designated outcome variable.
