Transpiration helps regulate plant temperature through evaporative cooling.

A firm has a large amount of current liabilities but limited current assets. What is the most likely implication?

Why must you call plt.savefig() BEFORE plt.show()?

Study the following code and answer the questions below.fig, axes = plt.subplots(2, 2, figsize=(12, 8)) axes.plot(months, revenue, marker=’o’) plt.title(‘Revenue Trend’) # Line A axes.bar(regions, profit) axes.set_title(‘Profit by Region’) axes.pie(shares, labels=regions) axes.set_title(‘Market Share’) axes.scatter(spend, sales) axes.set_title(‘Ad Spend vs Sales’) plt.show() plt.savefig(‘dashboard.png’, dpi=300) # Line B (a) Line A uses plt.title() instead of axes.set_title(). What problem will this cause?(b) Line B calls plt.savefig() after plt.show(). What will happen when the file is saved?(c) What function should be called before plt.show() to prevent subplot labels from overlapping?

What Matplotlib function creates a histogram?plt.___(data, bins=20)

After fig, axes = plt.subplots(1, 2), how do you set the title of the right subplot?

In plt.pie(sizes, labels=labels, autopct=’%1.1f%%’), what does the autopct parameter do?

A company builds a model to predict product prices. It has R² = 0.45 and RMSE = $50,000. Should they rely on this model for pricing decisions?

What does model.predict(X_new) do?

When using scikit-learn, why must we use double brackets like X = df] instead of single brackets X = df?