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His results are shown in the table below.

\begin{tabular}{|l|c|c|c|c|}
\hline \multicolumn{4}{|l|}{\begin{tabular}{l}
Number of flower buds opening on Watsonia plants in four different \\
enclosures over four weeks in October
\end{tabular}} \\
\hline Enclosure No. & Week 1 & Week 2 & Week 3 & Week 4 \\
\hline [tex]$1(25 \%$[/tex] shade [tex]$)$[/tex] & 4 & 7 & 17 & 29 \\
\hline [tex]$2(50 \%$[/tex] shade [tex]$)$[/tex] & 2 & 5 & 9 & 15 \\
\hline [tex]$3(75 \%$[/tex] shade) & 0 & 3 & 4 & 7 \\
\hline [tex]$4(100 \%$[/tex] shade [tex]$)$[/tex] & 0 & 0 & 0 & 3 \\
\hline
\end{tabular}

2.1.1 State the:
a. Dependent variable: [tex]$\qquad$[/tex]
b. Independent variable: [tex]$\qquad$[/tex]


Sagot :

Certainly! Let's analyze the situation to determine the dependent and independent variables.

Based on the given information:

### a. Dependent Variable:
In the context of experiments and scientific studies, the dependent variable is the variable that you measure or observe. It responds to changes made to the independent variable. Here, we are measuring the number of flower buds opening on Watsonia plants over four weeks. This is the outcome we are interested in.

So, the dependent variable is:
"number of flower buds opening on Watsonia plants"

### b. Independent Variable:
The independent variable is the variable that you change or control in your experiment to see how it affects the dependent variable. In this situation, the experiment has four different enclosures with varying percentages of shade. The percentage of shade is what you are manipulating to observe its effect on the flower buds opening.

Therefore, the independent variable is:
"percentage of shade in the enclosure"

Here's the final statement of the dependent and independent variables:

#### a. Dependent variable:
number of flower buds opening on Watsonia plants

#### b. Independent variable:
percentage of shade in the enclosure